Indian farming is moving beyond tractors and traditional tools as artificial intelligence, drones, satellites and sensors become part of farm planning. The shift is gaining attention in August 2026 because the government is expanding digital agriculture and farm mechanisation programmes. The Agriculture Ministry says modern technology can improve productivity, reduce cultivation costs, save resources and reduce physical labour. For farmers, the change is not only about buying machines. It is about using better information to make everyday decisions.
From Farmer ID to Digital Farm Records
The government has already built a large digital base for agriculture. By December 2025, more than 7.63 crore Farmer IDs had been created and 23.5 crore crop plots had been surveyed under the Digital Agriculture Mission. The National Pest Surveillance System covers 66 crops and more than 432 pest types. Kisan e-Mitra had also answered over 93 lakh farmer queries in 11 regional languages. These numbers show how digital services are moving closer to farmers and their daily needs.
The purpose of this digital system goes beyond keeping records. Farmer and crop data can help government agencies deliver services, identify crop conditions and provide more targeted advice. The Digital Agriculture Mission aims to create a farmer-centred digital and space technology system. This can connect information on land, crops, weather and government services. For farmers, the benefit will depend on whether these systems provide information that is simple, timely and useful for decisions made on the field.
AI Is Moving Closer to the Field
Artificial intelligence is now being tested for crop advice, pest detection, weather information and farm planning. A recent study on rice farming in India found that agriculture produces huge amounts of climate, satellite, soil and field data, but turning that information into useful advice remains difficult. The researchers say AI systems need to provide information suited to specific farms and local conditions. This matters because advice that works in one region may not work in another.
This is where farmer-focused AI tools can make a difference. Instead of giving a farmer a long technical report, a useful system could answer simple questions about when to irrigate, when disease risk is rising or what weather conditions mean for a crop. Nandan Nilekani has also pointed to the use of AI in agriculture and supported work around an Open Agri Network for farmers. The focus is shifting from technology itself to how farmers can use it in everyday decisions.
Why Drones Are Getting More Attention
Drones are another major part of this change. Farmers and service providers can use them for crop monitoring and targeted spraying. The Agriculture Ministry says modern farming programmes now include drones, precision agriculture, sensors, remote sensing, satellite applications and automation. ICAR has also researched drone-based crop monitoring and pesticide application. These tools can help farmers cover fields faster, identify crop problems and reduce unnecessary application of farm inputs when used correctly.
The government is also trying to make machinery available without forcing every farmer to buy it. Under the Sub-Mission on Agricultural Mechanization, Custom Hiring Centres help farmers access machines by paying for their use instead of purchasing them. This approach can help small farmers who cannot justify the cost of expensive equipment. The government says the programme specifically aims to expand mechanisation among small and marginal farmers and address the high cost of individual machine ownership.
Technology Must Solve a Real Farm Problem
The growing use of AI and digital tools does not mean every farmer needs to buy new technology. The better approach is to start with a specific problem. If spraying requires too much labour, a farmer can compare the cost of drone services with manual spraying. If pests repeatedly damage a crop, a reliable digital advisory can be tested along with local agricultural guidance. Technology becomes useful when it saves time, reduces waste or improves a decision that directly affects farm income.
Milind Borgikar, Co-Founder and CTO of Ayekart, described AI as “the intelligent layer behind India’s agri-commerce ecosystem”. He said AI can combine pricing, weather and crop information to support decisions across procurement, logistics and farm operations. This points to a wider change. AI will not remain limited to crop production. It can also help farmers understand markets, plan sales and manage supply chains. The challenge will be making these services trustworthy, affordable and easy to use.
For farmers, the next stage of agricultural technology will depend on access and training. A drone is useful only when someone can operate it properly. An AI advisory is useful only when its information matches local conditions. A digital platform is useful only when farmers can understand and trust it. India has already created much of the digital base needed for these services. The focus now needs to move towards practical field use, local languages, training and affordable access for smaller farmers.
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