The recent heavy rain in Maharashtra’s agricultural heartland has flooded over seven million acres of farmland across 30 districts during this monsoon season alone. From Vidarbha to Marathwada and north Maharashtra to western Maharashtra, the State’s drought-prone areas have experienced heavy rainfall, which has turned fields into lakes and farmers’ dreams into despair. This severe flooding has affected over 3.1 million farmers, leading to crop losses worth thousands of crores and highlighting a significant weakness in Maharashtra’s and ultimately India’s agriculture sector.
The devastation goes beyond numbers. In Pune district, 273 hectares of crops across 63 villages were damaged, impacting 720 farmers whose onion, vegetable, and marigold crops were destroyed at crucial growth stages. Across the State, 6.9 million acres of farmland were lost between August and September, with rainfall exceeding annual averages by 109 per cent. For smallholder farmers in Indapur and Purandar, who invested heavily in fertilizers and pesticides, the losses mean not just a lost season but years of debt and desperation.
India has 146 million agricultural households, with 86% classified as small and marginal farmers who face increasingly unpredictable weather patterns. Maharashtra’s recent experiences illustrate a larger crisis where climate change is making weather patterns less reliable, leaving millions of farmers at risk of extreme weather events they cannot foresee or prepare for.
The human cost is staggering. Between 2022 and 2024, 3,090 farmers took their own lives in Marathwada alone – almost three each day – largely due to climate-related agricultural stress. They work on small plots without access to irrigation, facing what experts label the ‘classic catastrophe scenario’: they plant after initial rains only to lose their crops to unexpected dry spells, wiping out their investments in seeds and other inputs.
The answer lies not in accepting unpredictable weather but in using artificial intelligence to change how we predict and respond to it. This summer, 38 million farmers across 13 Indian states received AI-powered monsoon forecasts that predicted weather patterns accurately up to four weeks in advance. This marks the largest use of AI weather forecasting for agriculture ever.
The technology behind this shift is Google’s NeuralGCM model, combined with the European Centre for Medium-Range Weather Forecasts’ AI Forecasting System. Unlike traditional weather models requiring supercomputers costing $100 million, these AI models can run on a standard laptop while providing better accuracy. The models learn from decades of historical weather data, identifying patterns that traditional methods often overlook, all while respecting the principles of meteorological science.
