English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

In the last two decades, ICTs have played a pivotal role in empowering ruralpopulations in India by making knowledge more accessible. Digital Green (DG) isone such ICT that employs a participatory approach with smallholder farmers toproduce instructional videos that encompass content specific to them. With helpof human mediators, they disseminate these videos using projectors to improvethe adoption of agricultural practices. DG's web-based data tracker storesattendance and adoption logs of millions of farmers, videos screened and theirdemographic information. We leverage this data for a period of ten yearsbetween 2010-2020 across five states in India and use it to conduct a holisticevaluation of the ICT. First, we find disparities in adoption rates of farmers,following which we use statistical tests to identify different factors thatlead to these disparities and gender-based inequalities. Second, to provideassistance to farmers facing challenges, we model the adoption of practicesfrom a video as a prediction problem and experiment with different modelarchitectures. Our classifier achieves accuracies ranging from 79% to 90%across the five states, demonstrating its potential for assisting futureethnographic investigations. Third, we use SHAP values in conjunction with ourmodel for explaining the impact of various network, content and demographicfeatures on adoption. Our research finds that farmers greatly benefit from pastadopters of a video from their group and village. We also discover that videoswith a low content-specificity benefit some farmers more than others. Next, wehighlight the implications of our findings by translating them intorecommendations for community building, revisiting participatory approach andmitigating inequalities. We conclude with a discussion on how our work canassist future investigations into the lived experiences of farmers.

Diagnosing Data from ICTs to Provide Focused Assistance in Agricultural Adoptions