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AI Weather Stations for Precision Farming

AI Weather Stations for Precision Farming

Kerala began deploying ANNAM.AI smart weather stations on 28 July 2026 under its 100‑day action plan for climate‑smart agriculture. The stations combine artificial intelligence and IoT sensors to deliver hyper‑local weather and farm data for field‑level decisions.

ANNAM.AI and Digital Public Infrastructure

  • Centre of Excellence: ANNAM.AI is an AI in Agriculture CoE at IIT Ropar, supported by the Ministry of Education.
  • Digital public infrastructure (DPI): Shared digital systems that enable public service delivery and data‑driven agricultural applications.
  • Spatial resolution: Stations provide data at ~3‑kilometre resolution for localised inputs.

Technical Features

  • Sensor suite: Measures solar radiation, soil moisture, wind, humidity and rainfall.
  • Connectivity: IoT devices transmit field data for central analytics and local advisories.
  • AI functions: Localised forecasting, anomaly detection and analytics for crop health and pest‑risk signals.

Deployment and Partnerships

  • Rollout: Kerala deployment is part of a phased national rollout; Punjab hosted the first 100 AI‑powered stations by 30 March 2026.
  • Capacity building: ANNAM.AI plans to train 10,000 students, rural youth and agriculture professionals in AI applications.
  • Industry tie‑up: Partnership with Syngenta announced in June 2026 for crop health monitoring, pest outbreak tracking and heat‑stress management.

IASPOINT Booster Facts

  • Precision agriculture: Relies on sensors, analytics and connected devices to optimise inputs and timing at field scale.
  • Kerala farm structure: About 92% of farms are under one hectare, increasing the need for hyper‑local advisories.
  • Related activity: CSIR held a March 2026 workshop in Kerala on AI and IoT for soil and crop health applications.
Last Modified: July 28, 2026

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