AI is being used in Indian rural agriculture and dairy farming through voice calls, regional languages, and basic phones to aid farmers who lack smartphones or reliable internet, delivering practical guidance right where it’s needed.

These efforts show how AI can provide timely, actionable agricultural advice in rural areas and reduce dependence on intermediaries or internet-connected tech.

Amul’s AI Sarlaben enables over three million dairy farmers to access cattle health, breeding, subsidies, and feeding information via calls in Gujarati, without apps or smartphones.

MahaVISTAAR and Vasudha offer local-language, farm-specific guidance through the Farm Diary linked to AgriStack, delivering weather, market, and pest warnings.

Sarlaben relies on a massive dairy data set—over two billion milk procurement transactions and data from 30 million cattle—to tailor its guidance.

The piece highlights broader implications for global agricultural tech initiatives and notes the important role of women in dairy farming within these programs.

Cotton Ace by Wadhwani AI runs offline on low-end devices to detect pink bollworm in cotton fields via image analysis from pheromone traps and prescribes pest-control actions.

A unifying thread is designing AI for users rather than forcing them to adapt, prioritizing accessibility, locality, and offline capability.

Dhenu by KissanAI focuses on agriculture with voice in Hindi and regional languages, trained on millions of agricultural documents to answer crop- and soil-related questions.