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AI Monsoon Forecasts for Kharif Farmers: MoAFW’s m-Kisan Initiative

13 September 20251 min read
AGRICULTURE & RURALAI MonsoonForecasts for KharifFarmers: MoAFW’sm-Kisan Initiative13 September 2025safalsetu.com

Why in the news

Kharif farmers rely on rain, so the agriculture ministry (MoAFW) tried an AI approach to give dependable monsoon forecasts for planning.

Key facts

  • Models: Google’s Neural GCM and ECMWF’s AIFS, predicting monsoon onset, intensity and progress, said to beat conventional models.
  • Delivery: m-Kisan SMS, region-specific, with weekly updates on mid-season changes such as rain pauses.
  • Partners: Development Innovation Lab – India and Precision Development kept messages clear and local.

Significance

  • Better Kharif planning and lower climate risk.
  • Resilience to climate variability; sustainable farming.
  • Informed sowing and irrigation choices may lift yields and incomes.

Exam angle

  • SMS platform: m-Kisan.
  • AI systems: Neural GCM and AIFS.

Test yourself

1. Through which platform did MoAFW send AI-based monsoon forecasts to 3.8 crore farmers?

Forecasts were delivered through the m-Kisan SMS platform.

2. In the AI monsoon forecasting initiative, MoAFW integrated Google's Neural GCM with which other system?

The ministry combined Neural GCM with ECMWF's AI Forecasting System.

3. In how many states did MoAFW's AI-based monsoon forecasts reach farmers?

The forecasts went to farmers across 13 states.