AI and ML-based credit rating system for farmers

Abstract

A credit scoring system for farmers, comprising: a data retrieval module configured to retrieve government land records and provide satellite imagery of coordinates; a machine learning (ML) model connected to the data retrieval module and configured to process images for production scores based on crop quality; sensors connected to the ML model and configured to provide live field data for generating credit scores; a blockchain module connected to the ML model and configured to issue credits as limited tokens for agricultural expenditures; the ML model combining production scores and sensor data to predict creditworthiness for credit decisions.

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