How is AI Transforming Monsoon Forecasting for Farmers?

Synopsis
Key Takeaways
- AI is revolutionizing weather forecasting for farmers.
- 3.8 crore farmers received advanced monsoon forecasts.
- Forecasts were available up to four weeks in advance.
- The initiative is a world-first in targeted AI weather dissemination.
- It empowers farmers to make informed decisions about Kharif farming.
New Delhi, Sep 12 (NationPress) The Ministry of Agriculture and Farmer Welfare (MoAFW) has delivered AI-driven monsoon forecasts through SMS (m-Kisan) to approximately 3.8 crore farmers across 13 states this year, as reported by the ministry on Friday.
This year's forecasts were available earlier than ever before, extending up to four weeks in advance of the rainfall.
Utilizing AI models has enabled the creation of forecasts tailored to farmers' specific needs, providing them with an essential tool for planning their Kharif agricultural strategies.
This initiative represents the first targeted distribution of AI weather forecasts, positioning MoAFW as a global leader in leveraging AI for the direct benefit of farmers.
Millions of farmers across India rely heavily on rainfall for Kharif farming, which is their primary source of income and livelihood.
Advance warnings regarding the monsoon can significantly assist farmers in making informed decisions about what to cultivate, how much to plant, and the optimal timing for planting.
This transformation is made possible by a breakthrough in weather forecasting powered by artificial intelligence (AI).
During a program review meeting held at Krishi Bhavan on September 8, Additional Secretary Pramod Kumar Meherda and Joint Secretary Sanjay Kumar Agarwal engaged with Nobel Laureate and University of Chicago Professor Michael Kremer to discuss the initiative's progress and future expansion.
Additional Secretary Meherda noted, “This initiative harnesses the AI-driven weather forecasting revolution to predict the onset of continuous rains, equipping farmers with the confidence to plan agricultural activities and manage risks effectively. We aim to enhance this effort in the years to come.”
This year, the monsoon's arrival was earlier than expected, but a pause in its northward movement caused a 20-day halt in rainfall mid-season. The AI forecasts issued by MoAFW accurately pinpointed this interruption in monsoon activity.
“As climate change amplifies weather variability, accurate forecasts serve as valuable resources for farmers to adapt,” remarked Joint Secretary Shri Sanjay Kumar Agarwal.