The Ministry of Agriculture, through the National Center for Crop Prediction in Mahalanobis, has conducted pilot studies to optimize harvesting experiments (CCEs) in several states in India.

The Government of India uses satellite imagery to estimate crop area, crop conditions and yields at district levels.

This is done by forecasting agricultural products using space, agrometeorological and ground-based observations, as well as coordinated assessment and management of gardening using geoinformatics.

In addition, satellite data are also used to estimate drought in order to estimate the potential area for growing legumes and horticultural crops.

The use of new technologies is aimed at reducing agricultural costs while improving productivity. It will also help farmers get better prices for their crops.

Artificial intelligence can be used in several areas of agriculture, such as weather, crop and price forecasting, and yield estimation. In addition, AI can lower production costs through the accurate use of agricultural resources such as fertilizers, chemicals, and irrigation.

This scheme is a significant departure from traditional farming practices in India, which have led to low yields and dependence on unpredictable monsoon rains. This kept Indian agriculture at a living wage.

The inadequacy of monsoon rains in the country led to crop failure and an increase in the number of suicides among farmers. The government hopes that artificial intelligence and related technologies will change the agricultural industry. AI tools can help Indian farmers choose the right crops to grow and minimize risks.