Why in news?
The Indian Council of Agricultural Research (ICAR) has launched “Oilseeds Kisaan Mitra,” a WhatsApp‑based chatbot that delivers 24×7, research‑based guidance to farmers growing oilseed crops. The service aims to boost domestic oilseed production and reduce dependence on imported edible oils.
Background
Oilseeds play a key role in India’s farm economy, yet yields have lagged behind demand. To bridge the information gap, the ICAR‑Indian Institute of Oilseeds Research (IIOR) and partner institutes developed a multilingual AI agent. The service was unveiled at the National Oilseeds Conference in New Delhi on 6 February 2026.
How it works
- Accessibility: Farmers can save the phone number +91 40245 98180 as “Oilseeds Kisaan Mitra” and send messages in any Indian language via WhatsApp.
- Coverage: The chatbot answers queries about groundnut, mustard, sesame, sunflower, soybean and other oilseed crops, covering variety selection, sowing dates, pest and disease management, irrigation schedules and post‑harvest practices.
- Knowledge base: Expertise from ICAR‑IIOR and other institutes (NSRI, IIGR, IIRMR and the Sesame & Niger Project Unit) has been embedded into the system. The AI agent understands regional languages and retrieves precise answers from this database.
- Ease of use: Farmers do not need to download any additional application. The familiar WhatsApp interface reduces barriers to adoption.
Significance
By providing free, real‑time advice in local languages, Oilseeds Kisaan Mitra empowers small and marginal farmers to make informed decisions. It complements government schemes that promote oilseed cultivation and contributes to the goal of self‑reliance in edible oils. Combining artificial intelligence with the reach of WhatsApp could serve as a model for other crops and sectors.
Conclusion
Oilseeds Kisaan Mitra demonstrates how digital tools can extend agricultural research to farmers’ phones. If widely adopted, the service may improve productivity and income for oilseed growers while reducing import dependence. Continuous updates and farmer feedback will be essential for its success.