Google's AnthroKrishi Team Brings AI to India's Agricultural Landscape

Google's Alok Talekar believes that AI and traditional farming can coexist in India. For centuries, farmers have made decisions based on traditional metrics and short-term historical forecasts. However, with the growing presence of AI in agriculture, farmers' literacy is becoming increasingly important.

Talekar leads Google DeepMind's AnthroKrishi team, which has developed two AI models that generate agricultural insights at scale. The first layer segments fields, trees, and water bodies using 15 years of satellite imagery refreshed every 6 to 12 months. The second layer tracks crop types, sowing, and harvesting stages across 12 crops, leveraging six years of data refreshed twice a month.

Talekar emphasizes that AI can serve as an important aid in addressing challenges faced by India's farmers, such as predicting weather and crop diseases, improving input use and market intelligence, reducing costs, and encouraging environmentally sustainable farming practices. He stresses that AI is not meant to replace traditional practices but to provide information to support effective decision-making.

The use of satellite data enables the identification of every farm, regardless of size, helping to prevent bias toward large landowners. This equitable access to data enables governments and partners to deliver services more fairly and reduce power imbalances common in manual surveys.