The paper identifies a research gap in the understanding

The gap

Evidence profile

Sourced from the recommendations and future work and stated research gap of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 4 journals.

Supporting evidence — 8 representative gaps

• Innovation-Driven Agricultural Management: Examining the Role of Low-Cost Farming Technologies in India (2026) · International Journal For Multidisciplinary Research · doi

  The findings of the present study indicate that low-cost farming technologies possess considerable potential to strengthen agricultural productivity, sustainability, and rural development in India. However, realizing this potential requires coordinated managerial, institutional, and governance-oriented interventions capable of supporting innovation diffusion, farmer participation, and long-term agricultural transformation. The following recommendations are proposed to strengthen innovation-driven agricultural management within the Indian agricultural sector. One of the most important requirements is the development of decentralized agricultural innovation ecosystems at regional and local levels. Rural agricultural conditions vary significantly across India, and therefore innovation systems should encourage localized adaptation rather than relying exclusively on standardized technological models. District-level innovation centers, rural fabrication hubs, and community-based agricultural technology laboratories can help farmers and rural entrepreneurs develop affordable technologies according to local operational requirements. Such decentralized systems may improve contextual relevance and strengthen grassroots participation in agricultural innovation processes. The study also recommends strengthening institutional support mechanisms for grassroots innovators and rural entrepreneurs. Several practical agricultural technologies remain confined to limited geographical areas because innovators lack access to financing systems, technical standardization assistance, manufacturing support, and commercialization opportunities. Government agencies, agricultural universities, innovation foundations, and rural development institutions should establish specialized support programs for farmer-led innovations. Simplified patent assistance, innovation incubation schemes, prototype development support, and rural technology financing can significantly improve the scalability of affordable agricultural innovations. Agricultural extension systems require substantial modernization and expansion in order to improve technology diffusion within rural regions. Existing extension mechanisms in many areas continue to suffer from limited outreach, insufficient training capacity, and weak field-level engagement. Demonstrationbased extension models should be encouraged so that farmers can directly observe the practical functioning of agricultural technologies before adoption. Farmer training programs should additionally focus on operational maintenance, technological adaptation, and sustainable farming practices rather than only theoretical awareness generation. Another important recommendation involves integrating participatory innovation approaches within agricultural policy implementation.

  generalrecommendationsevidence 5/5
  Keywords: agricultural innovation rural technologies development systems support strengthen farmer within technology farmers improve extension farming
• ASSESSING KNOWLEDGE LEVEL OF POST-HARVEST MANAGEMENT PRACTICES AMONG ONION GROWERS (2024) · Gujarat Journal of Extension Education · doi

  Harisha. N, M. Shanmukh Raju and V.Chinmayi Impact of front-line demonstrations on productivity of cumin in jamnagar & devbhumi dwarka district Baraiya KP1, Baraiya AK2, Ambaliya ND3 Organic farming offers promising sustainability prospects in Himalayan foothills and North-Western India: A Review Aditi Sharma1, Kapil Kathuria1, Ajay Sharma2* Constraints faced by Extension Scientists in Communicating Agricultural Information to the Farmers: A Comparative Study Soumya Mishra1, Ravinder Kaur Dhaliwal2, Pramod Tripathi3 What drives farmers to adopt agricultural advices accessed by different sevices in Gujarat? Vishal S. Thorat1, Yogesh A.

  generalfuture workevidence 5/5
  Keywords: impact baraiya sharma agricultural farmers harisha shanmukh raju chinmayi front line demonstrations productivity cumin jamnagar
• Why social inclusion matters in sustainable intensification (2026) · npj Sustainable Agriculture · doi

  Using evidence from existing literature and insights from ongoing research projects at the International Maize and Wheat Improvement Center (CIMMYT), this Perspective examines the characteristics and impacts of SI in agricultural production systems. We provide examples of how SI practices can lead to more equitable poverty alleviation when technologies and practices are targeted to reach poorer and marginalized segments of society. The two case studies from ongoing SI-oriented research projects on the dissemination and impacts of technologies in eastern India are presented. The first case study is a “trade-off” example, which shows a substantial increase in herbicide use as part of SI leads to the displacement of women laborers of the most marginalized castes. The second case study is an example of a “win-win” in which targeted dissemination of the intensifi- cation of the rice-fallow system with a new cash crop (maize) is carried out through women’s self-help groups, resulting in increased empowerment of women farmers. Rather than providing rigorous causal evidence of social inclusion outcomes, these case studies illustrate mechanisms through which SI interventions can shape distributional impacts across gender and social groups. Intensification vs. sustainable intensification In its traditional sense, agricultural intensification focuses on increasing agricultural output per unit of land through more effective use of material inputs and labor. Key practices associated with intensification include monoculture and intensive use of chemical inputs19. While these practices have been successful in increasing food production, they have often led to adverse environmental effects, including soil degradation, water scarcity, biodiversity loss, and increased greenhouse gas emissions20. SI is an alter- native approach to traditional intensification that aims to increase agri- cultural productivity while minimizing negative environmental impacts. Essentially, the goal is to boost food production while maintaining the natural resource base on which long-term agricultural productivity depends21. The expected outcomes of SI include increased TFP in agri- culture, improved soil health, sustained or improved biodiversity and eco- system services, irrigation water conservation, and reduced carbon footprint22. Beyond these productivity and environmental goals, SI should ideally also treat equity and social inclusiveness as explicit goals in their own right— not merely as by-products—addressing the needs of smallholder and women farmers and marginalized communities. While the imperative of inclusive development applies broadly to any technology-driven interven- tion in farming and non-farming sectors, it is particularly relevant to the SI of agriculture for two main reasons. First, since SI is explicitly framed as a holistic approach encompassing social dimensions alongside productivity and environmental ones23, ignoring inclusion outcomes is not merely undesirable but renders the very definition of sustainability incomplete. Second, the specific characteristics of certain intensification technologies— their complexity, input requirements, and scale—can create or even amplify mechanisms of exclusion, such as labor displacement and affordability barriers, which may disproportionately affect already-marginalized communities24,25. However, the influence of SI practices on social inclu- sion and equity remains largely overlooked in the literature. environmental, The diverse impacts of sustainable intensification Below, we delineate SI’s impact across four key dimensions: agronomic, this multi- and social. economic, dimensionality into operational thinking and impact assessment is essential, given that these dimensions can pull in different directions and generate real trade-offs. For instance, an intervention that improves productivity or environmental outcomes while generating adverse social consequences cannot be considered a genuinely sustainable intensification.

  generalfuture workevidence 5/5
  Keywords: intensi cation social environmental impacts practices productivity agricultural marginalized case women outcomes production technologies increased
• Why social inclusion matters in sustainable intensification (2026) · npj Sustainable Agriculture · doi

  The persistence of these gaps points to a fundamental tension at the core of SI: a framework that aspires to be holistic and socially transformative yet remains largely silent on how its benefits and costs are distributed across gender, caste, and class. The sections that follow examine this tension directly, tracing the mechanisms through which SI interventions can either deepen or disrupt existing patterns of socio-economic inequality. Impact heterogeneity and technology-induced marginalization Impact heterogeneity refers to the varied effects that interventions, policies, or practices can have across different individuals or communities38. In the context of SI in agriculture, impact heterogeneity highlights that the benefits and drawbacks of agricultural practices are not uniformly distributed but vary significantly across socioeconomic groups. Differential adoption rates of agricultural technologies across gender, class, and caste—particularly welldocumented in South Asian contexts—are established in the literature, along with their underlying drivers. For instance, women farmers often face constraints in accessing resources, land, and information, which may prevent them from benefiting from SI to the same extent as men, unless specific gender-sensitive approaches are implemented39. Younger, more educated farmers may be more receptive to innovation, while older farmers tend to be more risk-averse toward new technologies, partly due to shorter investment recovery horizons40. The impact of farming technologies can also vary considerably depending on farmers’ economic status41. Wealthier farmers have better access to resources, capital, and markets, allowing them to adopt and benefit from SI practices more readily than their less affluent counterparts. Beyond the marginalization that arises from differential adoption— where SI technologies disproportionately benefit those with greater resources, thereby widening income gaps between affluent and less affluent farming households—certain technology characteristics can generate exclusionary effects independently of who adopts them. Some SI technologies are capital-intensive, scale-dependent, or designed primarily for idealized farming conditions that may not reflect the resource constraints, fragmented landholdings, or labor arrangements of smallholder and marginalized communities in the Global South. Others are inherently laborsaving and hence potentially labor-displacing, substituting human labor with machinery or agrochemicals in ways that eliminate the primary livelihood source of landless laborers, many of whom belong to the most socially marginalized groups. Furthermore, the complexity and knowledgeintensity of many SI practices can create information asymmetries that systematically favor better-connected, better-educated, and more socially dominant farming households, reinforcing existing hierarchies of access and benefit42,43.

  generalfuture workevidence 5/5
  Keywords: bene farmers across impact practices technologies farming labor socially gender heterogeneity resources them better uent
• Why social inclusion matters in sustainable intensification (2026) · npj Sustainable Agriculture · doi

  The perceived rise in farm wages, coupled with the scarcity of family labor, has catalyzed a shift towards labor-saving agricultural technologies such as machinery and herbicides. Herbicide adoption among cereal farmers in the state of Bihar rose by approximately 50 percentage points within a single decade. This shift, while a response to economic factors (especially seasonal labor scarcity), carries significant social implications. There is mounting evidence that the introduction of such technologies has led to the displacement of labor from women and socially marginalized caste groups. For example, research from India has highlighted how mechanization has specifically undercut women’s weeding labor and thus opportunities for income generation46. Similarly, in Malawi, the adoption of herbicides has resulted in the displacement of casual labor43. Against this backdrop, the objectives of this case study are twofold: First, we investigate whether the growing use of herbicides in regions like Bihar, India, has disproportionately affected labor demand for historically marginalized caste groups and women, especially in weed management and other on-farm tasks. Second, we propose a task-based approach to inequality as a robust framework for examining gender and social inclusion within the context of the unintended impacts of agricultural technologies. This approach disaggregates agricultural work into specific tasks (e.g., weeding, planting, harvesting, and herbicide application) and examines how these tasks are allocated across gender and social groups, thereby revealing how technological changes can differentially affect the labor opportunities and incomes of marginalized communities. Drawing on two complementary datasets covering rice, wheat, and maize production in Bihar—a telephone survey of 2000 rice and wheat farmers across 35 districts conducted in 2020/21, and the Maize, Wage Labour and Livelihoods Survey (MWLL) covering 416 maize farmer households and 309 labour households—we document a set of interrelated stylized facts. Data were collected on herbicide adoption patterns, labor hours disaggregated by gender, and the caste identity of both farmers and laborers. We applied a task-based conceptual framework, drawing on previous work46,50 that models production as a set of tasks allocated among labor and capital, to interpret how herbicide adoption restructures task composition along gender and caste lines. The task-based production function approach draws on the theoretical framework developed by Acemoglu and Restrepo50 and Afridi et al.,46 which models agricultural output as a function of sequentially ordered, genderdifferentiated task inputs46,50.

  generalfuture workevidence 5/5
  Keywords: labor task gender agricultural herbicide adoption caste tasks based approach production technologies herbicides farmers bihar
• Why social inclusion matters in sustainable intensification (2026) · npj Sustainable Agriculture · doi

  socially marginalized scheduled tribes) compiled by the International Rice Research Institute (IRRI), the study evaluates the adoption of maize and its subsequent impact on women’s empowerment. The three main findings are provided below. (cid:129) Proximity to maize demonstration plots significantly increased maize adoption and cultivated area. Specifically, the presence of demonstration plots within 1 km of farmer dwellings was associated with an increased probability of maize adoption by about 8% over the 2017–2019 period, and one percentage increase in the number of demonstration plots within a 1 km radius was associated with a 14% increase in adoption probability. In terms of area, the presence of a demonstration plot within 1 km was associated with an additional 0.21 ha of maize cultivation per household–equivalent to 24% of the average owned land size. This documents the effectiveness of demonstration trials in promoting sustainable intensification and technology adoption among smallholder farmers. (cid:129) Second, maize adoption had a strong positive causal impact on women’s empowerment, as measured by the Women’s Empowerment in Agriculture Index (WEAI). Women farmers who adopted maize between 2017 and 2019 had a mean empowerment index of 0.76, compared to 0.65 among non-adopters–a statistically significant difference (p < 0.01). Furthermore, 46% of maize adopters were classified as empowered (empowerment index ≥0.80), compared to only 25% of non-adopters. Instrumental variable (IV) regression estimates reveal that maize adoption increased the probability of empowerment by 0.37–0.43 percentage points, highlighting the potential of targeted interventions to promote gender-equitable agrarian development. (cid:129) The introduction of maize as a cash crop through women’s SHGs positively affected household nutrition and household welfare. Maize adoption led to significant increases in calorie intake (32–58% in IV regression models) and in the intake of protein, fat, and key minerals such as calcium, iron, and zinc (10–15% in ordinary least squares, OLS, regression models). The primary transmission mechanism was increased food expenditure, which rose by 80% among households that adopted (IV estimate). However, women in maize-adopting households experienced heavier farming workloads, reducing the time available for food preparation and leisure, a trade-off that was not compensated for by increased male involvement in cooking or by eating outside the household. Conclusion and strategies for inclusive growth The two case studies presented in this paper draw on primary household survey data from Bihar and Odisha, India, to examine how the introduction of new agricultural technologies reshapes labor demand, employment, and broader livelihood outcomes.

  generalfuture workevidence 5/5
  Keywords: maize adoption women empowerment increased household demonstration plots signi within associated probability among index adopters
• Gender Equity in Agriculture: Proposing Integrated Solutions to Address Women's Challenges in Rural and Urban Food Production Systems in Tanzania (2026) · East African Journal of Agriculture and Biotechnology · doi

  Existing studies have focused on inputs, time-saving technologies, or community participation in isolation, without proposing an integrated framework to address the barriers faced by women in agriculture. The study identifies a gap in the existing literature in terms of proposing a holistic, gender-transformative framework tailored to both rural and urban food-production systems in Tanzania.

  generalstated research gapevidence 5/5
  Keywords: existing studies have focused inputs time-saving technologies community
• Why social inclusion matters in sustainable intensification (2026) · npj Sustainable Agriculture · doi

  Existing research has focused on the technical aspects of sustainable intensification, neglecting social inclusion. There is a need to examine the impact of new agricultural technologies on marginalized groups. The relationships between sustainable intensification, social inclusion, and livelihood outcomes are not well understood.

  generalstated research gapevidence 5/5
  Keywords: existing research has focused technical aspects sustainable intensification

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