MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104433 A) filed by Dr Rvr. Nri Institute Of Technology Deemed To Be University; Ms. Ch. Prasanthi; Mr. V. Sairam; Ms. R. Vaishnavi; Mr. P. Ratna Kishore; Mrs. K. Hima Bindu; and Mr. Ch. Sai Chand on August 31, 2026, for Agricreditai: Ai-Based Farmer Loan Eligibility And Credit Risk Assessment Using Drones, Sensors, Crop, Weather And Financial Data.
Inventors include Ms. Ch. Prasanthi; Mr. V. Sairam; Ms. R. Vaishnavi; Mr. P. Ratna Kishore; Mrs. K. Hima Bindu; and Mr. Ch. Sai Chand.
The application for the patent was published on September 04, 2026, under issue no. 36/2026.
Abstract: Abstract Agricultural loans are not easily available to some farmers because of limited financial records, collateral constraints and uncertainties related to crop production and weather. The invention provides an AI-based multi-model system for farmer loan eligibility and credit-risk assessment. The system receives farmer profile and financial information together with drone-captured crop and field images, sensor measurements, weather information and agricultural data. A computer- vision model analyzes drone images to derive crop-condition features, while sensor data provide measurable field conditions such as soil moisture, temperature and humidity. A weather model analyzes climate patterns, and machine-learning models assess financial and repayment-related factors. The outputs are integrated through feature fusion or ensemble learning to derive a unified risk representation and loan-eligibility score. An explainable AI layer identifies the principal factors influencing the recommendation. The resulting system provides a transparent decision-support pathway for authorized lenders.
Disclaimer: Curated by HT Syndication.
