AI-Enabled Agricultural Transformation and Women Agripreneurship: Insights from Rural Bihar

Author(s)	Dr. Manish Kumar
Country	India
Abstract	The integration of Artificial Intelligence (AI) into agriculture has the potential to transform rural livelihoods, particularly among women agripreneurs in developing regions. This study examines the determinants of AI adoption among women farmers associated with the National Rural Livelihoods Mission (NRLM) in Bihar. Using a logit/probit econometric framework, the study evaluates how socio-economic, institutional, and technological factors influence AI adoption. Secondary data from NRLM, JEEViKA (Bihar), and national surveys are used to construct empirical tables. Results indicate that digital literacy, access to smartphones, SHG participation, and extension services significantly influence AI adoption. The study concludes that AI-enabled agriculture can enhance productivity, sustainability, and women’s empowerment if supported by targeted policy interventions.
Keywords	Keywords: AI in agriculture, women agripreneurs, Bihar, NRLM, logit model, digital agriculture
Field	Sociology > Economics
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-13

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