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India Expands Digital Literacy for Farmers with AI Tools

India is accelerating its efforts to improve digital literacy among farmers through a combination of AI-powered tools, local-language applications, and community-based support centres. With smartphones becoming more affordable and telecom connectivity reaching even remote locations, the government aims to ensure that every farmer including those without personal devices can access essential digital services that enhance farming outcomes.
The Ministry of Agriculture and Farmers Welfare has outlined several initiatives designed to help farmers navigate digital platforms, benefit from technological innovations, and receive timely, accurate information. Minister of State for Agriculture Shri Ramnath Thakur shared these developments in a written reply in the Lok Sabha, emphasizing India’s commitment to transforming rural agriculture into a digitally empowered ecosystem.

Bridging the Digital Divide Through Community Support

While smartphone penetration is rising rapidly across rural India, the government recognizes that many farmers still lack personal access to mobile devices or may be unfamiliar with digital tools. To ensure inclusivity, farmers can use services offered through Farmers Producer Organisations (FPOs), Krishi Sakhis, Common Service Centres (CSCs), and various state-run institutions.

These support centres help farmers access schemes, market information, weather updates, insurance claims, credit facilities, and digital advisory services. CSCs, in particular, serve as a lifeline for remote communities by offering digital services at minimal costs.

The integration of the Bhashini language platform has further enhanced accessibility by making digital applications available in Indian regional languages, enabling farmers to interact with technology in their native tongue. This localisation effort is crucial for bridging the language barrier that often restricts rural adoption of digital tools.

AI Tools Improving Productivity and Sustainability

Artificial Intelligence is playing an increasingly important role in Indian agriculture. The government has introduced AI-driven tools aimed at improving crop productivity, preventing losses, and helping farmers make informed decisions.

Kisan e-Mitra: AI Chatbot for Farmers

One of the major innovations is the “Kisan e-Mitra,” a voice-based AI chatbot designed to answer farmer queries related to essential government schemes such as PM-Kisan, PM Fasal Bima Yojana, and Kisan Credit Card. Supporting 11 regional languages, the chatbot currently handles over 8,000 queries per day and has answered more than 93 lakh questions to date. Plans are underway to expand its knowledge base to more agricultural schemes and technical advisories.

National Pest Surveillance System

Climate change has made pest attacks more unpredictable, causing significant crop losses. To combat this, the National Pest Surveillance System uses AI and machine learning to detect pest infestations early. Farmers or extension workers can upload photos of pests, allowing the system to identify the problem and recommend timely interventions.

Currently used by more than 10,000 agricultural workers, the tool supports 66 crops and over 432 pest species. With real-time insights, farmers can prevent major losses and reduce dependence on excessive chemical pesticides.

Satellite-Based Crop Mapping

AI-driven crop mapping is another advancement being adopted nationwide. Using satellite imagery and field photographs, the system helps monitor crop health, cropping patterns, sowing data, and weather interactions. This data aids both farmers and policymakers in optimizing resource allocation, planning procurement, and improving climate resilience.

Government’s Vision for a Digitally Enabled Farming Sector

These initiatives reflect India’s larger goal of building a smart and sustainable agricultural ecosystem. By increasing the use of AI, digital advisory systems, and local-language apps, the government aims to reduce the digital divide, improve rural incomes, and empower farmers to make decisions backed by accurate data.

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