• Dr. M. Sarswathi

Indian agriculture has, since Independence, made rapid strides in taking the annual food grains production from 51 million tonnes in the early fifties to 206 million tonnes at the turn of the century; it has contributed significantly in achieving self-sufficiency in food and in avoiding food shortages. Over 200 million Indian farmers and farm workers have been the backbone of India's agriculture. Despite having achieved national food security, the well-being of the farming community continues to be a matter of grave concern for planners and policymakers. Under this backdrop, the Government of India prepared the National Agricultural Policy document in 2000. Risk management and Crop Insurance play an important role in farm activities to fulfill the vision of the Government to develop agriculture and rural development. As with all forms of lending, however, agricultural credit and insurance present the bankers in India with a unique set of risks. Each agroclimatic region of the country has unique conditions that are reflected in the variety of crops produced and marketed. In recent days of agriculture, Artificial Intelligence-enabled solutions are helping insurers to manage risk, accelerate efficiencies, and improve profitability. Several catalysts are fueling the adoption of this technology in the insurance sector.

ROLE OF AI IN RISK MANAGEMENT AND CROP INSURANCE OF THE AGRICULTURE SECTOR IN TELANGANA

"ROLE OF AI IN RISK MANAGEMENT AND CROP INSURANCE OF THE AGRICULTURE SECTOR IN TELANGANA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.221-224, November-2025, Available :http://www.jetir.org/papers/JETIRHD06038.pdf

"ROLE OF AI IN RISK MANAGEMENT AND CROP INSURANCE OF THE AGRICULTURE SECTOR IN TELANGANA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. pp221-224, November-2025, Available at : http://www.jetir.org/papers/JETIRHD06038.pdf