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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2026.1766156</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Empowering tribal women through skill-based fennel processing training: a pathway to sustainable socio-economic development in Sirohi, Rajasthan</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bhardwaj</surname>
<given-names>Raju Lal</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3106842"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
</contrib-group>
<aff id="aff1"><institution>College of Agriculture</institution>, <city>Baytu-Barmer</city>, <state>Rajasthan</state>, <country country="in">India</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Raju Lal Bhardwaj, <email xlink:href="mailto:rajubhardwaj3@aujodhpur.ac.in">rajubhardwaj3@aujodhpur.ac.in</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-11">
<day>11</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>10</volume>
<elocation-id>1766156</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>06</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Bhardwaj.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Bhardwaj</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-11">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Primary processing of fennel (<italic>Foeniculum vulgare</italic>) in the Sirohi district of Rajasthan is mainly carried out by tribal women, who are a vital but under-supported part of the local agri-value chain. Despite their important role, there is significant potential to increase their income through focused capacity-building and better access to suitable technologies. To address this, the Krishi Vigyan Kendra, Sirohi, implemented a structured series of skill-focused training programs over 8&#x202F;years (2008&#x2013;2016), including one-day, three-day, and seven-day sessions during the cropping season. A total of 500 tribal women, organized into small groups of 25&#x2013;30 participants, received hands-on, practical training. The training emphasized scientifically relevant aspects of fennel primary processing, such as optimized harvesting of umbels at the post-mature stage, standardized grading into A to C categories, and improved drying using modified shade houses built with local materials to preserve the green color and volatile compounds. It also covered hygienic threshing and packaging using polythene-lined bags to maintain qualities like texture, aroma, and market shelf-life. Results show that the training greatly improved processing efficiency and the adoption of better practices, leading to the transformation of nearly 70% (3,888&#x202F;ha) of fennel-growing areas into primary processing operations up to 2024&#x2013;25. Economic analysis estimates an additional return of &#x20B9; 42.94 crores at the district level. The trained women reported higher daily earnings (&#x20B9; 500&#x2013;750) compared to unskilled workers (&#x20B9; 250&#x2013;300), highlighting the positive impact of skill development on wage differences. Overall, the intervention significantly increased household income, improved livelihood security, and raised the socio-economic status of rural and tribal women. These findings emphasize the importance of skill development and decentralized primary processing as effective strategies to strengthen rural value chains and promote women&#x2019;s economic empowerment in marginalized regions.</p>
</abstract>
<kwd-group>
<kwd>agri-value-chain</kwd>
<kwd>household income</kwd>
<kwd>livelihood</kwd>
<kwd>primary processing</kwd>
<kwd>self-employment</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="7"/>
<equation-count count="1"/>
<ref-count count="39"/>
<page-count count="10"/>
<word-count count="6948"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition and Sustainable Diets</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Agriculture continues to serve as the backbone of India&#x2019;s rural economy, supporting the livelihoods of a majority of the population and shaping socio-economic development across diverse regions (<xref ref-type="bibr" rid="ref26">NITI Aayog, 2021</xref>). India is globally recognized as the leading producer and consumer of spices, which not only contribute significantly to national income and export earnings but also play an essential role in crop diversification, nutritional enhancement, and livelihood security for smallholder farmers (<xref ref-type="bibr" rid="ref37">Singh and Meena, 2022</xref>; <xref ref-type="bibr" rid="ref38">Spices Board India, 2023</xref>). In the semi-arid landscapes of Rajasthan, particularly in Sirohi district, recent shifts in cropping patterns reflect an increasing preference for high-value spice crops such as fennel (<italic>Foeniculum vulgare</italic>), driven by their strong market demand, climate resilience, and potential to improve household incomes among rural and tribal communities (<xref ref-type="bibr" rid="ref22">Kumar et al., 2021</xref>; <xref ref-type="bibr" rid="ref9">Choudhary et al., 2022</xref>). Fennel, traditionally cultivated as a Rabi crop, has adapted well to local agro-climatic conditions that allow its cultivation during the Kharif season in parts of southwestern Rajasthan. Sirohi district significantly contributes to the state&#x2019;s fennel acreage and production, emerging as a key cluster for fennel-based livelihood activities (<xref ref-type="bibr" rid="ref12">Department of Agriculture, Rajasthan, 2022</xref>). Despite its economic potential, small and tribal farmers often receive low prices because of limited knowledge of scientific primary processing techniques such as stage-specific harvesting, hygienic drying, efficient threshing, mechanical grading, and moisture-controlled packaging (<xref ref-type="bibr" rid="ref6">Bhardwaj et al., 2013</xref>; <xref ref-type="bibr" rid="ref35">Sharma et al., 2020</xref>). Poorly processed fennel not only suffers quality degradation but also fails to meet market standards, leading to lower price realizations (<xref ref-type="bibr" rid="ref6">Bhardwaj et al., 2013</xref>). Conversely, adopting improved processing technologies has been shown to increase farmers&#x2019; income two to three times, highlighting substantial untapped potential for value addition at the village level (<xref ref-type="bibr" rid="ref23">Mehta and Rathore, 2023</xref>). Tribal women farmers play a central role in the primary processing of fennel, contributing significantly to both household subsistence and local spice value chains (<xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>). Their work encompasses critical post-harvest operations, such as threshing, winnowing, cleaning, drying, sorting, and grading, which directly affect the purity, aroma retention, and commercial grade of fennel seeds. These operations align with environmentally sustainable practices and require minimal external inputs. Given the rising market demand for naturally processed spices, recognizing and supporting the contributions of tribal women becomes essential for improving rural livelihoods, strengthening supply chains, and sustaining indigenous agricultural knowledge. Recognizing these challenges, Krishi Vigyan Kendra (KVK) Sirohi has developed an integrated primary processing package that addresses critical gaps in farmers&#x2019; knowledge and skills. The KVK delivers structured, need-based, skill-oriented training programs, including three and seven-day residential courses and one or two-day field-based demonstrations designed to strengthen farmers&#x2019; understanding of fennel processing and market-linked quality standards. Training sessions are strategically conducted during the harvesting (December&#x2013;February) and processing (March&#x2013;May) seasons and combine theoretical instruction with intensive hands-on demonstrations facilitated by multidisciplinary experts from universities, spice research centers, agro-industries, and progressive farmers networks. The modules emphasize practical competencies such as timing of umbel harvest, scientific drying techniques, quality grading, hygienic packing, and marketing strategies. A major focus of the initiative is the empowerment of tribal women, who play a crucial yet often undervalued role in the post-harvest segments of agricultural value chains (<xref ref-type="bibr" rid="ref16">FAO, 2023</xref>). This study provides specialized skill-oriented training of 1&#x2013;7&#x202F;days to groups of 25&#x2013;30 tribal women, covering 500 beneficiaries across key fennel-growing villages in Sirohi. Exposure to skill-based training has significantly strengthened their technical capabilities, enhanced their participation in local value addition, and enabled them to establish micro-enterprises that generate reliable supplementary income (<xref ref-type="bibr" rid="ref30">Rathod and Patel, 2021</xref>). Women&#x2019;s collectivization through farmer groups and self-help organizations further accelerates technology adoption, market access, and enterprise sustainability, as these institutions foster knowledge exchange, financial inclusion, and shared risk (<xref ref-type="bibr" rid="ref29">Patel et al., 2022</xref>). Positioned as a pivotal extension institution under the Indian Council of Agricultural Research (ICAR), KVK Sirohi serves as a crucial interface between research and field-level application (<xref ref-type="bibr" rid="ref6">Bhardwaj et al., 2013</xref>). Through continual training, technology refinement, and participatory approaches, the KVK plays an instrumental role in promoting sustainable agricultural development, enhancing farm productivity, and improving income security among rural and tribal households.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<title>Materials and methods</title>
<p>The study was carried out from 2008 to 2024 in the operational villages of Krishi Vigyan Kendra (KVK), Sirohi, Rajasthan, to assess the impact of training of fennel (<italic>Foeniculum vulgare</italic>) primary processing technologies on the socio-economic development of tribal women. The study adopted a quasi-experimental, longitudinal impact evaluation design to assess the long-term socio-economic effects of skill-oriented training on primary processing of fennel.</p>
<p><italic>Study area and target group</italic>: The investigation was initiated in 2008 across five KVK-adopted, fennel-producing tribal villages (Kacholi, Phoola Bai ka Khera, Nagpura, Sanwara, and Panchdeval) of the district Sirohi (Rajasthan). The target population consisted of tribal farm women involved in fennel cultivation and post-harvest activities. Skill-oriented training programs were continually organized from 2008 to 2016 during the cropping season of fennel (December to May). Two respondent categories were identified: Trained group (women who received formal KVK skill-oriented training on fennel primary processing) and Untrained group (women engaged in fennel cultivation but practicing unprocessed or partially processed methods without training). This grouping allowed a comparative evaluation of adoption, income change, and technology utilization following extension interventions (<xref ref-type="bibr" rid="ref31">Rogers, 2003</xref>).</p>
<p><italic>Sampling design and selection of respondents</italic>: A purposive sampling technique was applied to select villages and respondents, following standard procedures for impact evaluation in a rural setting (<xref ref-type="bibr" rid="ref10">Cochran and Cox, 1950</xref>; <xref ref-type="bibr" rid="ref21">Kothari, 2004</xref>). From each selected village, 50 tribal women (25 trained&#x202F;+&#x202F;25 untrained) were sampled, yielding a total sample size of 250 respondents (125 trained and 125 untrained). Equal allocation ensured balanced representation and minimized sampling bias. A quasi-experimental research design involving a comparison between trained and untrained respondents was adopted, which is considered appropriate for technology impact assessment in agricultural extension research (<xref ref-type="bibr" rid="ref11">Creswell, 2014</xref>; <xref ref-type="bibr" rid="ref5">Bernard, 2017</xref>).</p>
<p><italic>Development and pre-testing of research instrument</italic>: A structured questionnaire was developed based on earlier studies on technology adoption and post-harvest practices (<xref ref-type="bibr" rid="ref34">Sanyang et al., 2009</xref>; <xref ref-type="bibr" rid="ref14">FAO, 2013</xref>). The instrument was pre-tested with a pilot group to assess clarity, content validity, and cultural appropriateness. Modifications were incorporated based on respondent feedback and expert consultation. The questionnaire included predominantly closed-ended items, covering variables such as demographic profile, awareness and adoption of primary processing technologies, labor utilization and employment generation, yield and market price realization, post-training income changes, and constraints in processing and marketing. Although the questionnaire was prepared in English, interviews were conducted in Hindi and the local dialect (Marwari) to ensure comprehension and avoid interviewer bias.</p>
<p><italic>Data collection and statistical analysis</italic>: The skill-oriented training intervention on primary processing of fennel was conducted during the period 2008&#x2013;2016; the study was intentionally designed to assess the long-term and sustained socio-economic impact of these training activities. Primary data were therefore collected continuously and periodically from 2008 to 2024 through personal interviews conducted at respondents&#x2019; homes, farms, Gram Sabha meetings, and on-field processing sites, following standard survey and impact assessment procedures (<xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>). The post 2016 data (2016, 2020, and 2024) represent follow-up observations on the same respondent groups to capture the durability, adoption continuity, and cumulative effects of the training over time. The post-training impacts were observed periodically from 2008 to 2024 through structured and semi-structured personal interviews from an untrained group (2012) served as a baseline comparator, while trained respondents were assessed at multiple post-intervention points (2016, 2020, and 2024). Socio-economic variables were observed using a mixed-method approach, combining structural quantitative indicators with qualitative assessments, followed by standard practices in extension research and livelihood impact evaluation. Data were collected through personal interviews, field observation, and participatory interactions using pre-tested schedules to ensure reliability and comparability across respondents and time periods (<xref ref-type="bibr" rid="ref3">Babbie, 2013</xref>; <xref ref-type="bibr" rid="ref15">FAO, 2018</xref>). Interviews were carried out with the assistance of village-level workers to facilitate trust and accurate responses. Laborers involved in fennel processing were interviewed in real-time to capture reliable employment and labor distribution data. Secondary information was collected from published and unpublished records of KVK Sirohi, government reports, progressive farmers&#x2019; labor registers, and relevant scientific literature. The potential market rate of fennel for the experimental period 2008&#x2013;2024 was collected from Krishi Upaj Mandi, Summerpur-Pali (Rajasthan) records and official agricultural statistics, Government of Rajasthan (<xref ref-type="bibr" rid="ref12">Department of Agriculture, Rajasthan, 2022</xref>). Following field data collection, responses were coded and transferred to tally sheets for systematic tabulation (<xref ref-type="bibr" rid="ref21">Kothari, 2004</xref>). Descriptive statistics, including means, frequencies, and percentages, were used to analyze socio-economic indicators and adoption patterns. To quantify the effectiveness of fennel primary processing technologies, the technology gap, extension gap, and technology index were computed using the established formulas of <xref ref-type="bibr" rid="ref33">Samui et al. (2000)</xref>. The technology gap was calculated as the difference between the potential market rate of fennel and the market rate of primary processed fennel. The extension gap was calculated as the difference between the market rate of primary processed fennel and the market rate received by untrained farmers for their produce.<disp-formula id="E1">
<mml:math id="M1">
<mml:mtext>Technology Index</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mtext>Potential Market Rate</mml:mtext>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>&#x2013;</mml:mo>
<mml:mtext>Primary Processed Market Rate</mml:mtext>
</mml:mtd>
</mml:mtr>
</mml:mtable>
<mml:mtext>Potential Market Rate</mml:mtext>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:math>
</disp-formula></p>
</sec>
<sec sec-type="results" id="sec3">
<title>Results and discussion</title>
<sec id="sec4">
<title>Involvement of tribal women in primary processing activities</title>
<p>Tribal women play an essential role in the primary processing of fennel in the study villages. Field survey data show that women are actively involved in nearly every stage of the post-harvest value chain (<xref ref-type="table" rid="tab1">Table 1</xref>). Their participation from 2008 to 2016 and 2016&#x2013;2024 shows high in tasks such as timely harvesting of fennel umbels (93 and 94%), collecting and transporting umbels from the field to drying structures (91 and 89%), grading umbels before drying (95 and 98%), and collecting dried umbels for threshing (96%), respectively. They also significantly contribute to labor-intensive tasks like threshing (85 and 90%), winnowing (95 and 98%), debris removal (98%), and final seed cleaning (100%). Additionally, many women participate in constructing drying structures (76 and 70%), arranging umbels during drying (64 and 83%), quality grading of fennel seeds (92 and 95%), and packaging the final product (73 and 60%). The analysis of tribal farm women&#x2019;s contribution to the primary processing of fennel from 2008 to 2016 and 2016&#x2013;2024 shows that women consistently perform most post-harvest activities, with overall participation slightly rising from 88.16 to 89.25%. Their dominance is especially evident in tasks requiring precision and sustained effort, such as cleaning, grading, winnowing, and debris removal, where female participation remains between 95 and 100%. The most notable increase over time occurs in arranging umbels in drying structures (+0.30), emphasizing that this delicate and quality-critical task continues to rely heavily on women&#x2019;s skills. Conversely, activities like constructing drying structures, transporting umbels, and packing show a decrease in female participation, indicating a shift toward male involvement in more physically demanding tasks. These findings reflect a persistent gender-based division of labor in tribal farming systems, consistent with earlier research indicating that rural and tribal women carry out most post-harvest responsibilities in spice and seed production (<xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>; <xref ref-type="bibr" rid="ref28">Patel and Prajapati, 2018</xref>; <xref ref-type="bibr" rid="ref36">Singh and Kaur, 2017</xref>). However, the high involvement of women in manual, labor-intensive tasks highlights the necessity for targeted interventions, such as drudgery-reducing tools, training, and institutional support, to improve efficiency and fairness across the fennel value chain. The findings confirm earlier research emphasizing the critical role of rural and tribal women in primary processing and value-added activities. <xref ref-type="bibr" rid="ref17">Farougue and Anwar (1998)</xref> reported that women&#x2019;s education, technical knowledge, extension contact, and attitudes toward technology greatly influence their engagement in self-employment and household-based agricultural tasks. Similar observations were made by <xref ref-type="bibr" rid="ref7">Bhardwaj et al. (2014)</xref>, <xref ref-type="bibr" rid="ref24">Nandal and Ojha (2012)</xref>, noting that fennel primary processing activities in Rajasthan are predominantly performed by women, especially those from tribal communities. Recent studies further corroborate these findings that the strong participation of rural women in spice value chains and post-harvest operations (<xref ref-type="bibr" rid="ref4">Bera and Roy, 2020</xref>), tribal women acquire significant skills in spice cleaning, drying, and grading (<xref ref-type="bibr" rid="ref9">Choudhary et al., 2022</xref>), farm women in India significantly contribute to post-harvest operations such as threshing, cleaning, and storage (<xref ref-type="bibr" rid="ref8">Bojjagani et al., 2025</xref>), and women lead value-added enterprises based on traditional crops (<xref ref-type="bibr" rid="ref25">Naveen et al., 2023</xref>; <xref ref-type="bibr" rid="ref27">Pandey et al., 2024</xref>). <xref ref-type="bibr" rid="ref23">Mehta and Rathore (2023)</xref> confirmed that women remain the main contributors to labor-intensive post-harvest processes in smallholder spice enterprises. Moreover, <xref ref-type="bibr" rid="ref16">FAO (2023)</xref> and <xref ref-type="bibr" rid="ref29">Patel et al. (2022)</xref> stressed that women&#x2019;s involvement in agricultural value chains is essential for strengthening rural livelihoods, improving product quality, and sustaining local agro-based industries. <xref ref-type="bibr" rid="ref18">Gupta et al. (2024)</xref> recorded active women&#x2019;s participation in multiple post-harvest tasks, including drying, cleaning, and sorting, underscoring the critical role of women in post-harvest management. Collectively, these studies demonstrate that tribal women continue to play a vital role in sustaining and enhancing the fennel value chain through their extensive and skilled contributions to post-harvest operations (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Contribution of tribal farm women in the primary processing of fennel.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Various primary processing activities</th>
<th align="center" valign="top" colspan="5">Involvement in Per cent</th>
</tr>
<tr>
<th align="center" valign="top" colspan="2">Mean of 2008&#x2013;2016</th>
<th align="center" valign="top" colspan="2">Mean 2016&#x2013;2024</th>
<th align="center" valign="top" rowspan="2">% change in female participation</th>
</tr>
<tr>
<th align="center" valign="top">Male</th>
<th align="center" valign="top">Female</th>
<th align="center" valign="top">Male</th>
<th align="center" valign="top">Female</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Timely harvesting of fennel umbels</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">93</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">94</td>
<td align="char" valign="middle" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top">Construction of a drying structure for umbel</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">76</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">70</td>
<td align="char" valign="middle" char=".">&#x2212;0.08</td>
</tr>
<tr>
<td align="left" valign="top">Collection and transportation of umbel from the field to the drying structure</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">91</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">89</td>
<td align="char" valign="middle" char=".">&#x2212;0.02</td>
</tr>
<tr>
<td align="left" valign="top">Grading of umbels before drying</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">95</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">98</td>
<td align="char" valign="middle" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="top">Arrangement of the umbel in the drying structure</td>
<td align="center" valign="middle">36</td>
<td align="center" valign="middle">64</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">83</td>
<td align="char" valign="middle" char=".">0.30</td>
</tr>
<tr>
<td align="left" valign="top">Collection of umbels after drying for threshing</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">96</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">96</td>
<td align="char" valign="middle" char=".">0.00</td>
</tr>
<tr>
<td align="left" valign="top">Threshing of umbels</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">85</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">90</td>
<td align="char" valign="middle" char=".">0.06</td>
</tr>
<tr>
<td align="left" valign="top">Removal of debris from fennel seeds</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">98</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">98</td>
<td align="char" valign="middle" char=".">0.00</td>
</tr>
<tr>
<td align="left" valign="top">Winnowing of seeds</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">95</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">98</td>
<td align="char" valign="middle" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="top">Cleaning of seeds</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">100</td>
<td align="char" valign="middle" char=".">0.00</td>
</tr>
<tr>
<td align="left" valign="top">Grading of seeds</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">92</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">95</td>
<td align="char" valign="middle" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="top">Packing of seeds</td>
<td align="center" valign="middle">27</td>
<td align="center" valign="middle">73</td>
<td align="center" valign="middle">40</td>
<td align="center" valign="middle">60</td>
<td align="char" valign="middle" char=".">&#x2212;0.18</td>
</tr>
<tr>
<td align="left" valign="top">Total share in primary processing</td>
<td align="center" valign="middle">11.84</td>
<td align="center" valign="middle">88.16</td>
<td align="center" valign="middle">10.75</td>
<td align="center" valign="middle">89.25</td>
<td align="char" valign="middle" char=".">0.01</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Contribution of tribal farm women in the incremental returns of district Sirohi through primary processing of fennel.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">S.N.</th>
<th align="left" valign="top">Grade</th>
<th align="center" valign="top">Rate Rs per kg</th>
<th align="center" valign="top">Percent produce</th>
<th align="center" valign="top">Earning per ha (&#x20B9;)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">1</td>
<td align="left" valign="top">A</td>
<td align="center" valign="top">210&#x2013;250</td>
<td align="center" valign="top">59&#x2013;65</td>
<td align="center" valign="top">257,000</td>
</tr>
<tr>
<td align="left" valign="top">B</td>
<td align="center" valign="top">135&#x2013;155</td>
<td align="center" valign="top">19&#x2013;25</td>
<td align="center" valign="top">57,000</td>
</tr>
<tr>
<td align="left" valign="top">C</td>
<td align="center" valign="top">75&#x2013;90</td>
<td align="center" valign="top">13&#x2013;19</td>
<td align="center" valign="top">24,000</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">Total</td>
<td/>
<td align="center" valign="top">338,000</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Graded</td>
<td align="center" valign="top">187.70</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">338,000</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top">Ungraded</td>
<td align="center" valign="top">125.00</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">225,000</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Difference in income due to secondary agriculture per ha.</td>
<td align="center" valign="top">113,000</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Total area under the adoption of primary processing</td>
<td align="center" valign="top">3,800&#x202F;ha</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Total additional income due to primary processing in district Sirohi (113,000&#x202F;&#x00D7;&#x202F;3,800&#x202F;ha&#x202F;=&#x202F;&#x20B9; 429,400,000)</td>
<td align="center" valign="top">429,400,000</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Present role of tribal women in primary processing</td>
<td align="center" valign="top">89.25%</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Economic empowerment of tribal women through primary processing of the fennel in the district of Sirohi</td>
<td align="center" valign="top">382,166,000</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Technology gap (&#x20B9;/ha)&#x202F;=&#x202F;250&#x2013;187.7&#x202F;=&#x202F;62.30&#x202F;&#x00D7;&#x202F;1,800&#x202F;kg (Yield/ha)&#x202F;=&#x202F;&#x20B9; 112,140</td>
<td align="center" valign="top">1.12</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Extension gap (&#x20B9;/ha)&#x202F;=&#x202F;187.70&#x2013;125.0&#x202F;=&#x202F;62.70&#x202F;&#x00D7;&#x202F;1,800&#x202F;kg (Yield/ha)&#x202F;=&#x202F;&#x20B9; 112,860</td>
<td align="center" valign="top">1.12</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Technology index&#x202F;=&#x202F;(250&#x2013;187.7)/250&#x202F;&#x00D7;&#x202F;100&#x202F;=&#x202F;22.94</td>
<td align="center" valign="top">24.92%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec5">
<title>Contribution of tribal women to the incremental returns of the district</title>
<p>Primary processing significantly improves the quality, grade specification, and market competitiveness of fennel, thereby measurably contributing to the regional economy. Tribal women play a key role in these value-adding activities by performing a series of scientifically structured post-harvest tasks, including harvesting umbels at the optimal post-maturity stage; executing multi-stage grading to remove undersized, infested, discolored, or lightweight seeds; eliminating inert matter through sieving; and using locally developed thresher-cum-grader units to achieve uniform seed size and purity. The economic contribution of tribal farm women in Sirohi district through primary fennel processing is substantial, yielding both direct financial benefits and broader livelihood impacts. Grading fennel into quality categories (A, B, and C) resulted in different earnings, with Grade A produce earning the highest of &#x20B9;257,000 per hectare due to its premium market rate of &#x20B9;210&#x2013;250 per kg and a 59&#x2013;65% share in total produce, followed by Grade B (&#x20B9;57,000/ha) and Grade C (&#x20B9;24,000/ha), culminating in total earnings of &#x20B9;338,000 per hectare. A comparison between graded (&#x20B9;187.70/kg) and ungraded (&#x20B9;125/kg) fennel showed a significant income difference of &#x20B9;113,000 per hectare, mainly due to primary processing activities like grading, in which tribal women participate at an 89.25% rate. Approximately 3,800 hectares adopting primary processing, the total additional income in Sirohi district amounts to &#x20B9;429,400,000, with women&#x2019;s contributions estimated at &#x20B9;382,166,000, highlighting their vital role in value addition and rural economic growth. The technology gap and extension gap were 1.12, and the technology index of 24.92% was reported, further pointing to the potential for improving scientific grading and post-harvest practices to maximize income. These findings support earlier reports (<xref ref-type="bibr" rid="ref32">Sagar and Chandra, 2004</xref>; <xref ref-type="bibr" rid="ref2">Ahmad et al., 2007</xref>; <xref ref-type="bibr" rid="ref19">Jamali, 2009</xref>; <xref ref-type="bibr" rid="ref24">Nandal and Ojha, 2012</xref>; <xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>) emphasizing the crucial socio-economic role of rural and tribal women in post-harvest operations and value addition, and reinforce that skill-based training significantly enhances product quality, market value, and technology adoption among farm women. Recent research further shows that women&#x2019;s participation in spice value chains notably boosts product quality, household income, local resilience, rural employment, and empowerment (<xref ref-type="bibr" rid="ref1">Acharya and Basu, 2020</xref>; <xref ref-type="bibr" rid="ref4">Bera and Roy, 2020</xref>; <xref ref-type="bibr" rid="ref23">Mehta and Rathore, 2023</xref>; <xref ref-type="bibr" rid="ref28">Patel and Prajapati, 2018</xref>; <xref ref-type="bibr" rid="ref35">Sharma et al., 2020</xref>; <xref ref-type="bibr" rid="ref30">Rathod and Patel, 2021</xref>). The evidence also confirms that structured processing and grading systems can raise producer prices and strengthen local economies, especially when women form the backbone of agricultural labor (<xref ref-type="bibr" rid="ref36">Singh and Kaur, 2017</xref>). Overall, this data demonstrates that tribal women&#x2019;s active participation in the primary processing of fennel enhances product quality and market value and acts as a key driver of economic uplift in Sirohi district. Collectively, the findings highlight that skill-based training and technology adoption by tribal women are essential for economic empowerment and sustainable development in spice-growing regions.</p>
</sec>
<sec id="sec6">
<title>Impact on the socio-economic status of tribal farm women</title>
<p>The socio-economic analysis of the respondent groups revealed that the adoption of primary processing practices in fennel production has had a substantial positive impact on household wellbeing, income levels, and overall livelihood security (<xref ref-type="table" rid="tab3">Table 3</xref>). The trained group demonstrated a remarkable increase in average annual income, rising from &#x20B9;275,000 in 2012 to &#x20B9;565,000 in 2024, compared with only &#x20B9;132,000 among the untrained group, indicating the significant financial advantage associated with skill development in post-harvest handling. Consistent employment generation (270 man-days/ha) further underscores the stabilizing effects of primary processing on labor availability. Improvements in living standards were evident through higher rates of pucca house construction (increasing from 35 to 68% between 2012 and 2024) and access to household utilities, which rose from 42 to 85% during the same period. Financial inclusion also improved substantially among trained respondents, with bank accounts holding more than &#x20B9;10,000 increasing from 15% in the untrained group to 92% by 2024. Social indicators showed parallel improvements in children&#x2019;s enrolment in better English medium schools, which rose to 45%, interaction with extension workers increased to 92%, and ownership of personal transportation grew dramatically from 18% in the untrained group to 95% by 2024. Enhanced awareness of health and hygiene, improved agricultural implement use, and increased participation in social work further reflected socio-cultural upliftment. Importantly, women&#x2019;s participation in decision-making improved from 13% in the untrained group to 52% among trained households, demonstrating the empowerment potential of skills-based agricultural interventions. The involvement of tribal women in primary fennel processing also strengthens social and economic empowerment. Enhanced participation in spice value chains increases women&#x2019;s decision-making power within household and community groups, fosters leadership in self-help groups, and creates opportunities for micro-enterprise development (<xref ref-type="bibr" rid="ref20">Kabeer, 2005</xref>). Skilled tribal women involved in primary processing are key to improving the socio-economic status of a community, and they were getting &#x20B9; 200&#x2013;250&#x202F;day<sup>&#x2212;1</sup> for harvesting and primary processing of fennel, whereas other unskilled women were getting only &#x20B9; 100&#x2013;150&#x202F;day<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>). These findings align with earlier research showing that training in post-harvest technologies enhances farm income, resource access, and household welfare (<xref ref-type="bibr" rid="ref13">FAO, 2011</xref>; <xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>; <xref ref-type="bibr" rid="ref39">World Bank, 2014</xref>; <xref ref-type="bibr" rid="ref36">Singh and Kaur, 2017</xref>), and corroborate evidence that value addition and primary processing significantly contribute to socio-economic empowerment in tribal communities (<xref ref-type="bibr" rid="ref1">Acharya and Basu, 2020</xref>; <xref ref-type="bibr" rid="ref28">Patel and Prajapati, 2018</xref>). The increased earnings have contributed to improved household decision-making, strengthened socio-economic independence, and broadened opportunities for rural entrepreneurship among tribal women (<xref ref-type="bibr" rid="ref4">Bera and Roy, 2020</xref>; <xref ref-type="bibr" rid="ref9">Choudhary et al., 2022</xref>). These outcomes resonate with <xref ref-type="bibr" rid="ref25">Naveen et al. (2023)</xref> documented that tribal women&#x2019;s entrepreneurship dramatically increased their asset ownership, social status, and decision-making power. Overall, the adoption of primary processing technologies has yielded multifaceted socio-economic benefits, supporting the broader argument that capacity-building interventions can substantially improve the livelihoods of smallholder and tribal farming households.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Socio-economic impact of primary processing of fennel on respondent groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Essential components</th>
<th align="center" valign="top" colspan="5">Respondents (<italic>n</italic>&#x202F;=&#x202F;250)</th>
</tr>
<tr>
<th align="center" valign="top" rowspan="2">Non-primary processing (Untrained group)</th>
<th align="center" valign="top" colspan="4">Adopt primary processing (Trained group)</th>
</tr>
<tr>
<th align="center" valign="top">2012</th>
<th align="center" valign="top">2016</th>
<th align="center" valign="top">2020</th>
<th align="center" valign="top">2024</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Average annual income (&#x20B9;)</td>
<td align="center" valign="top">132,000</td>
<td align="center" valign="top">275,000</td>
<td align="center" valign="top">325,000</td>
<td align="center" valign="top">417,000</td>
<td align="center" valign="top">565,000</td>
</tr>
<tr>
<td align="left" valign="top">Employment generation (man-days/ha)</td>
<td align="center" valign="top">228</td>
<td align="center" valign="top">270</td>
<td align="center" valign="top">270</td>
<td align="center" valign="top">270</td>
<td align="center" valign="top">270</td>
</tr>
<tr>
<td align="left" valign="top">Construction of a pucca house</td>
<td align="center" valign="top">15.0</td>
<td align="center" valign="top">35.0</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">68</td>
</tr>
<tr>
<td align="left" valign="top">Utility facilities (Radio, TV, CD player, bed, storage bin, etc.)</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">85</td>
</tr>
<tr>
<td align="left" valign="top">Bank account with more than &#x20B9; 10,000 balances</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">76</td>
<td align="center" valign="top">85</td>
<td align="center" valign="top">92</td>
</tr>
<tr>
<td align="left" valign="top">Children&#x2019;s education in a good school</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">45</td>
</tr>
<tr>
<td align="left" valign="top">Improved agricultural implements</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="top">Interaction with extension workers for different field problems</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">80</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">92</td>
</tr>
<tr>
<td align="left" valign="top">Personal transportation facilities (cycle, motorcycle, car)</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">95</td>
</tr>
<tr>
<td align="left" valign="top">Adoption of new technology</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top">Understanding of urban society</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">40</td>
</tr>
<tr>
<td align="left" valign="top">Awareness about health and hygiene</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">35</td>
</tr>
<tr>
<td align="left" valign="top">Participation in social work</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">42</td>
</tr>
<tr>
<td align="left" valign="top">Change in behavior and thought</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">45</td>
</tr>
<tr>
<td align="left" valign="top">Telephone and Mobile facilities</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">67</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">100</td>
</tr>
<tr>
<td align="left" valign="top">Women&#x2019;s participation in decision-making</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">52</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec7">
<title>Impact on tribal women&#x2019;s knowledge level and technology adoption</title>
<p>The results clearly demonstrate that training interventions had a significant and positive impact on the knowledge levels of respondents regarding the primary processing of fennel (<xref ref-type="table" rid="tab4">Table 4</xref>). Across all activities, knowledge scores increased substantially after training with an overall mean gain of 47%, indicating the effectiveness of the capacity-building program. The greatest improvement was observed in the areas of collection and transportation of umbels (71%), cleaning of seeds (58%), winnowing (56%), grading of umbels (60%), and collection of dried umbels for threshing (50%), reflecting the crucial role of skill-oriented training in enhancing understanding of key post-harvest operations. Even activities where respondents had relatively higher initial familiarity, such as the construction of drying structures (47&#x2013;82%) and arrangement of umbels in drying structures (40&#x2013;69%), showed considerable gains of 35 and 29%, respectively, demonstrating that structured training effectively strengthened existing knowledge (<xref ref-type="table" rid="tab4">Table 4</xref>). These findings align with earlier research indicating that training and exposure to improved post-harvest technologies significantly boost farmers&#x2019; knowledge, efficiency, and adoption of scientific processing methods (<xref ref-type="bibr" rid="ref13">FAO, 2011</xref>; <xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>; <xref ref-type="bibr" rid="ref36">Singh and Kaur, 2017</xref>). The notable improvement in tasks requiring technical precision, such as grading, cleaning, and winnowing, supports previous evidence that women and small-scale farmers greatly benefit from hands-on learning approaches in spice processing and value addition (<xref ref-type="bibr" rid="ref28">Patel and Prajapati, 2018</xref>; <xref ref-type="bibr" rid="ref1">Acharya and Basu, 2020</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Effect of training on the gain in knowledge of the primary processing of fennel.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Various primary processing activities</th>
<th align="center" valign="top" colspan="3">Knowledge level (%)</th>
</tr>
<tr>
<th align="center" valign="top">Before intervention</th>
<th align="center" valign="top">After intervention</th>
<th align="center" valign="top">Gain in knowledge</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Timely harvesting of fennel umbels</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">45</td>
</tr>
<tr>
<td align="left" valign="top">Construction of drying structure</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">82</td>
<td align="center" valign="top">35</td>
</tr>
<tr>
<td align="left" valign="top">Collection and transportation of umbel from the field to the drying structure</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">86</td>
<td align="center" valign="top">71</td>
</tr>
<tr>
<td align="left" valign="top">Grading of umbels before drying</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">60</td>
</tr>
<tr>
<td align="left" valign="top">Arrangement of the umbel in the drying structure</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">29</td>
</tr>
<tr>
<td align="left" valign="top">Collection of umbels after drying for threshing</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">66</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top">Threshing of umbels</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">77</td>
<td align="center" valign="top">49</td>
</tr>
<tr>
<td align="left" valign="top">Removal of debris from fennel seeds</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">34</td>
</tr>
<tr>
<td align="left" valign="top">Winnowing of seeds</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">83</td>
<td align="center" valign="top">56</td>
</tr>
<tr>
<td align="left" valign="top">Cleaning of seeds</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">58</td>
</tr>
<tr>
<td align="left" valign="top">Grading of seeds</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">26</td>
</tr>
<tr>
<td align="left" valign="top">Packing of seeds</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">49</td>
</tr>
<tr>
<td align="left" valign="top">Total share in primary processing</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">47</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The assessment of knowledge levels among farm women before and after training on primary processing of fennel revealed a substantial improvement attributable to the intervention. Before training, the majority of participants (65%) fell within the low knowledge category, while only 15% demonstrated high knowledge (<xref ref-type="table" rid="tab5">Table 5</xref>). Following the training program, the proportion of women in the low category declined sharply to 17%, representing a 73.84% reduction, indicating a significant shift away from low baseline awareness. Concurrently, the medium knowledge category increased from 20 to 52%, marking a 160% improvement, while the high knowledge category more than doubled from 15 to 31%, reflecting a 106% increase (<xref ref-type="table" rid="tab5">Table 5</xref>). These results highlight the effectiveness of structured, hands-on training in elevating the technical competence of tribal and rural women in post-harvest processing activities. Similar trends have been reported in previous studies, where capacity-building interventions have led to significant advancements in knowledge acquisition, the adoption of improved practices, and the empowerment of women in agricultural value chains (<xref ref-type="bibr" rid="ref36">Singh and Kaur, 2017</xref>). The marked shift toward medium and high knowledge levels is consistent with findings by <xref ref-type="bibr" rid="ref28">Patel and Prajapati (2018)</xref>, who emphasized that targeted training on seed spice processing significantly enhances both theoretical understanding and practical skills among women farmers. The analysis of the adoption levels of farm women before and after training on primary processing of fennel demonstrated a marked improvement attributable to the intervention (<xref ref-type="table" rid="tab6">Table 6</xref>). Before training, a large majority of respondents (73%) were concentrated in the low adoption category, reflecting limited use of recommended primary processing practices. After the training program, this proportion declined substantially to 40%, representing a 45.2% reduction, and indicating that many women transitioned out of the lowest adoption tier. Correspondingly, the medium adoption category increased dramatically from 18 to 46%, showing a 155.5% rise, which highlights the effectiveness of training in promoting partial or full adoption of improved practices. Similarly, the proportion of women in the high adoption category increased from 9 to 14%, reflecting a 55.5% enhancement in the uptake of recommended technologies and post-harvest operations. Overall, the data suggest that the training intervention significantly improved the adoption behavior of farm women, shifting them from low to medium and high adoption categories, and thereby strengthening their capacity to implement scientifically recommended primary processing methods for fennel (<xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>). This positive shift highlights the crucial role of training and extension efforts in promoting the practical application of improved technologies among women farmers, ultimately leading to enhanced product quality, increased income potential, and greater participation in value-added agricultural activities.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Change in knowledge level of farm women before and after training.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">S.N.</th>
<th align="left" valign="top">Knowledge level</th>
<th align="center" valign="top">Pre-training (%)</th>
<th align="center" valign="top">Post training (%)</th>
<th align="center" valign="top">Increase per cent</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Low</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">17</td>
<td align="char" valign="top" char=".">&#x2212;73.84</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Medium</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">52</td>
<td align="char" valign="top" char=".">160.0</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top">High</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">31</td>
<td align="char" valign="top" char=".">106.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Change in the adoption level of farm women before and after training.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">S.N.</th>
<th align="left" valign="top">Category</th>
<th align="center" valign="top">Before training (%)</th>
<th align="center" valign="top">After training (%)</th>
<th align="center" valign="top">Per cent increase</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Low</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">40</td>
<td align="char" valign="top" char=".">&#x2212;45.2</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Medium</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">46</td>
<td align="char" valign="top" char=".">155.5</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top">High</td>
<td align="center" valign="top">09</td>
<td align="center" valign="top">14</td>
<td align="char" valign="top" char=".">55.5</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec8">
<title>Recommended technologies overview</title>
<p>The longitudinal assessment of the horizontal expansion of recommended technologies for the primary processing of fennel from 2008 to 2024 indicates a pronounced and progressive shift toward scientifically validated practices among farm women, reflecting enhanced technical capacity and sustained extension outreach (<xref ref-type="table" rid="tab7">Table 7</xref>). Adoption of the recommended postmature umbel harvesting stage (31&#x2013;40 DAFI) increased dramatically by 520%, rising from 10% in 2008 to 62% in 2024, while premature and over-mature harvesting declined by 54.55 and 57.69%, respectively, suggesting a growing understanding of harvest maturity as a determinant of seed quality and essential oil content. Correspondingly, drying practices shifted from open drying and rudimentary shade structures to improved systems, with the modified locally made shade drying structure (integrating indigenous materials with a polyethylene sheet) increasing from 0 to 42%, and agro-shade net drying emerging at 13% adoption, indicating a clear preference for technologies that optimize drying efficiency while minimizing contamination. Similar trends were observed in threshing floors, where the decline in kaccha floors (&#x2212;98.61%) and the 50% rise in plastic sheet (tripal) use demonstrate a rapid transition toward cleaner, more manageable surfaces; RCC pucca floors, though still low at 9%, reflect the early uptake of recommended durable infrastructure. Cleaning and grading technologies showed the strongest diffusion effect, with four-stage grading (the recommended standard) expanding from 0 to 45%, and three-stage grading rising to 30%, while ungraded produce declined sharply by 94.57%, underscoring the success of training in promoting value addition (<xref ref-type="table" rid="tab7">Table 7</xref>). Packaging practices followed a similar modernization trajectory, as adoption of the recommended gunny bag with polyethylene lining increased from 0 to 62%, while traditional jute and fertilizer bags saw steep declines. Overall, the horizontal spread of technologies demonstrates a clear pattern of behavioral transformation driven by exposure to training, improved knowledge, and hands-on experience (<xref ref-type="bibr" rid="ref7">Bhardwaj et al., 2014</xref>). These findings are consistent with global literature indicating that structured capacity-building significantly enhances farmers&#x2019; adoption of post-harvest innovations, particularly among women, who are central to seed spice processing (<xref ref-type="bibr" rid="ref28">Patel and Prajapati, 2018</xref>). The trends also corroborate evidence that adoption of improved post-harvest technologies reduces losses, improves product quality, and increases market competitiveness (<xref ref-type="bibr" rid="ref36">Singh and Kaur, 2017</xref>; <xref ref-type="bibr" rid="ref1">Acharya and Basu, 2020</xref>), while sustained technology diffusion at the community level strengthens local value chains and contributes to economic empowerment (<xref ref-type="bibr" rid="ref39">World Bank, 2014</xref>). Collectively, the results confirm that extension-led interventions have effectively catalyzed the diffusion of recommended technologies, positioning arm women as key agents in upgrading the fennel processing system in Sirohi district.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Horizontal expanse of recommended technologies for the primary processing of fennel.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Technologies of primary processing</th>
<th align="center" valign="top">2008</th>
<th align="center" valign="top">2012</th>
<th align="center" valign="top">2016</th>
<th align="center" valign="top">2020</th>
<th align="center" valign="top">2024</th>
<th align="center" valign="top">% Change</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="7">Umbel harvesting stages: recommended stage&#x2014;post-mature stage (31&#x2013;40 DAFI)</td>
</tr>
<tr>
<td align="left" valign="top">Premature (20&#x2013;30 DAFI)</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">&#x2212;54.55</td>
</tr>
<tr>
<td align="left" valign="top">Post-mature (31&#x2013;40 DAFI)</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">520.0</td>
</tr>
<tr>
<td align="left" valign="top">Over mature (41&#x2013;45 DAFI)</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">&#x2212;57.69</td>
</tr>
<tr>
<td align="left" valign="top">Drying (46&#x2013;50 DAFI) stages</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">&#x2212;62.96</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Umbel drying structures: recommended structure&#x2014;modified locally made shade drying structure</td>
</tr>
<tr>
<td align="left" valign="top">Open drying</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">&#x2212;57.14</td>
</tr>
<tr>
<td align="left" valign="top">Locally made shade drying structure</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">&#x2212;53.85</td>
</tr>
<tr>
<td align="left" valign="top">Modified locally made shade drying structure (made up of local indigenous material&#x202F;+&#x202F;white polyethylene sheet on the roof)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">42% (&#x221E;)</td>
</tr>
<tr>
<td align="left" valign="top">Agro-shade net house drying</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">13% (&#x221E;)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Types of threshing floors: recommended floor&#x2014;RCC (Pucca floor) threshing floor</td>
</tr>
<tr>
<td align="left" valign="top">Kaccha (Clay soil plastered)</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">&#x2212;98.61</td>
</tr>
<tr>
<td align="left" valign="top">Cow dung plastered (Lipna)</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">0.00</td>
</tr>
<tr>
<td align="left" valign="top">Plastic sheet covered (Tripal)</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">76</td>
<td align="center" valign="top">850.0</td>
</tr>
<tr>
<td align="left" valign="top">RCC (Pucca floor) threshing floor</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">9% (&#x221E;)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Cleaning and grading of fennel seed: recommended stage&#x2014;four-stage grading</td>
</tr>
<tr>
<td align="left" valign="top">Without grading</td>
<td align="center" valign="top">92</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">&#x2212;94.57</td>
</tr>
<tr>
<td align="left" valign="top">Two-stage grading (2 stage&#x202F;=&#x202F;pre and post drying of umbels)</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">150.0</td>
</tr>
<tr>
<td align="left" valign="top">Three-stage grading (3 stage&#x202F;=&#x202F;pre and post drying of umbel&#x202F;+&#x202F;1 sieving)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">30% (&#x221E;)</td>
</tr>
<tr>
<td align="left" valign="top">Four-stage grading (4 stage&#x202F;=&#x202F;Pre and post drying of umbel&#x202F;+&#x202F;2 sieving&#x202F;+&#x202F;1 mechanized)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">45% (&#x221E;)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Packing and storage of fennel seeds: recommended material&#x2014;gunny bag with polyethylene lining</td>
</tr>
<tr>
<td align="left" valign="top">Plastic bag (empty fertilizer bag)</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">&#x2212;60.00</td>
</tr>
<tr>
<td align="left" valign="top">Gunny bag (jute bag)</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">&#x2212;78.57</td>
</tr>
<tr>
<td align="left" valign="top">Polyethylene bag</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">1,400.0</td>
</tr>
<tr>
<td align="left" valign="top">Gunny bag with polyethylene lining</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">62% (&#x221E;)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="conclusions" id="sec9">
<title>Conclusion</title>
<p>Tribal women&#x2019;s participation in the primary processing of fennel clearly shows they are the backbone of the post-harvest value chain, contributing over 88&#x2013;89% of the labor across all major operations. Skill-oriented training interventions delivered through both on-campus and field-based programs proved crucial in strengthening technical skills among tribal women, leading to notable increases in income, employment, and socio-economic empowerment. Among tribal women, who became the primary drivers of value addition within the fennel sector, this demonstrated that skill-oriented primary processing technologies, including scientifically timed harvesting, multi-stage grading, hygienic drying, efficient threshing, and improved packaging, significantly improve product quality, market value, and financial returns for fennel growers in Sirohi district. Training programs generated substantial increases in knowledge (up to 106% shift into the high category) and adoption levels (up to 55.5% rise in the medium category), clearly reflecting the transformative potential of structured capacity-building efforts for rural and tribal women. The long-term expansion of recommended technologies from 2008 to 2024 further confirms a sustained behavioral shift, with large increases in the adoption of scientifically validated practices such as post-mature harvesting (520% increase), multi-stage grading (up to 45% adoption), improved drying structures (42% increase), and safe packaging methods (62% adoption). Overall, the findings emphasize that empowering tribal women through scientifically designed primary processing interventions is essential not only for boosting production efficiency and profitability but also for fostering inclusive rural development in spice-growing ecosystems. Beyond socioeconomic benefits, these interventions enhanced asset ownership, saving behavior, technological access, engagement with extension services, and women&#x2019;s autonomy in household and community decision-making.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec10">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec11">
<title>Ethics statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the patients/participants or patients/participants legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec12">
<title>Author contributions</title>
<p>RB: Conceptualization, Data curation, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec13">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec14">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<sec sec-type="disclaimer" id="sec15">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/231905/overview">Shalini Gaur Rudra</ext-link>, Indian Agricultural Research Institute, India</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1716180/overview">Idrees Wani</ext-link>, University of Kashmir, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3321581/overview">Sangeetha Vellaichamy</ext-link>, Indian Agricultural Research Institute (ICAR), India</p>
</fn>
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</article>