**Executive Summary**
The Ministry of Agriculture & Farmers Welfare released a report on December 9, 2025, detailing the government's initiatives in employing Artificial Intelligence (AI) to enhance crop productivity, sustainability, and farmer livelihoods. The report outlines three key AI-driven initiatives currently in operation. It covers the AI powered "Kisan e-Mitra" chatbot, the National Pest Surveillance System, and an AI-based pilot for monsoon forecasting.
**Key Points / Main Content**
**AI Initiatives for Agriculture:**
* The government is leveraging AI to address challenges in agriculture, improve crop yields, and support farmer livelihoods.
**Kisan e-Mitra Chatbot:**
* "Kisan e-Mitra" is a voice-based AI chatbot assisting farmers with queries related to PM Kisan Samman Nidhi, PM Fasal Bhima Yojna, and Kisan Credit Card.
* It supports 11 regional languages and assists with various government programs.
* Currently handles over 8000 farmer queries daily, having answered over 93 lakh queries.
**National Pest Surveillance System:**
* The National Pest Surveillance System utilizes AI and Machine Learning for timely pest detection in crops.
* Over 10,000 extension workers use the tool to capture pest images, aiding in pest mitigation and crop loss reduction.
* Supports 66 crops and identifies over 432 pests.
* AI-based analytics using field photographs is used for satellite-based crop mapping.
**Monsoon Forecasting Pilot:**
* An AI-based pilot was conducted for agriculturally relevant local monsoon onset forecasts in parts of 13 states for Kharif 2025.
* The pilot used an open-source blended model, including NeuralGCM and historical rainfall data.
* Forecasts were sent via SMS through the M-Kisan portal to 3,88,45,214 farmers in 13 states in five regional languages.
* Surveys in Madhya Pradesh and Bihar revealed that 31-52% of farmers adjusted planting decisions based on the forecasts.
**Impact Analysis**
**Farmers**
**Impact**
* Increased awareness of government schemes and access to information through the Kisan e-Mitra chatbot.
* Improved pest management and reduced crop losses through the National Pest Surveillance System.
* Better informed planting decisions based on AI-driven monsoon onset forecasts.
**Action Required**
* Utilize the Kisan e-Mitra chatbot to address questions regarding various agricultural schemes.
* Participate in the National Pest Surveillance System by capturing and submitting pest images via extension workers.
* Consider the AI-based monsoon onset forecasts when making planting decisions.
**Extension Workers**
**Impact**
* Enhanced ability to detect and respond to pest infestations using the National Pest Surveillance System.
**Action Required**
* Use the National Pest Surveillance System to capture pest images and assist farmers in mitigating pest attacks.
Key Entities Referenced
Ministry of Agriculture & Farmers Welfare: Primary government body responsible for implementing the AI initiatives in agriculture.
Kisan e-Mitra: AI-powered chatbot to assist farmers with queries on various schemes.
National Pest Surveillance System: System utilizing AI and Machine Learning for pest detection and intervention.
PM Kisan Samman Nidhi: A referenced scheme about which farmers can inquire using the AI chatbot.
PM Fasal Bhima Yojna: A referenced scheme about which farmers can inquire using the AI chatbot.
Ministry of Agriculture & Farmers Welfare
Use of Artificial Intelligence in Agriculture Supply
Chain
प्रव तथ: 09 DEC 2025 6:10PM by PIB Delhi
The government has employed Artificial Intelligence (AI) methods to improve crop productivity,
sustainability and farmer livelihoods and to address various challenges in the agricultural sector. Some
initiatives are given below:
I. “Kisan e-Mitra” is a voice-based AI-powered chatbot, developed to assist farmers with responses to
their queries on PM Kisan Samman Nidhi scheme, PM Fasal Bhima Yojna and Kisan Credit Card.
This solution supports 11 regional languages and is evolving to assist with other government
programs. At present, it handles over 8000 farmer queries daily and so far, more than 93 lakh
queries have been answered.
II. The National Pest Surveillance System, for tackling the loss of produce due to climate change,
utilizes AI and Machine Learning to detect pest infestation in crop issues, enabling timely
intervention for healthier crops. This tool, currently used by over 10,000 extension workers, allows
farmers to capture images of pests to help them mitigate pest attacks and reduce crop losses. At
present, it supports 66 crops and over 432 pests. AI-based analytics using field photographs for
satellite-based crop mapping is being used in Crop-weather matching monitoring of crops sown.
III. Further, an AI-based pilot was conducted in collaboration with the Development Innovation Lab-
India on agriculturally relevant local monsoon onset forecasts across parts of 13 states in India for
Kharif 2025. An open-source blended model was used, including NeuralGCM, the European Centre
for Medium-Range Weather Forecasts’ (ECMWF) Artificial Intelligence Forecasting System
(AIFS), and historical rainfall data from 125 years from the India Meteorological Department
(IMD). The probabilistic forecasts predicted only the local onset of the monsoon, which is essential
for deciding on the date of sowing crops. Local monsoon onset forecasts were sent via SMS through
the M-Kisan portal to 3,88,45,214 farmers in 13states in five regional languages- Hindi, Odia,
Marathi, Bangla, and Punjabi. Telephonic farmer feedback surveys were conducted in Madhya
Pradesh and Bihar through Kisan Call Centres after the forecasts were sent. The survey revealed that
31–52% farmers adjusted their planting decisions, primarily through changes in land preparation
and sowing timing, which included crop and input choice.
This information was given by Minister of State for Agriculture and Farmers Welfare, Shri Ramnath
Thakur in a written reply in Lok Sabha today.
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RC/AR/1576
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