agri-loan-risk-screening
nazaryansurenn-amb/agri-loan-risk-screening
Geospatial AI for agricultural lending: draw a farm boundary and get a loan-risk screening from five years of Sentinel-2 vegetation and moisture signals, ERA5-Land hail and frost exposure, and orchard-vs-annual crop detection. Case study: Armenia. Product overview only; proprietary implementation remains local.
Summary
A product overview for a geospatial AI tool that screens agricultural loan risk by analyzing satellite imagery (Sentinel-2), climate data (ERA5-Land), and crop type detection over a five-year history for a user-drawn farm boundary. Designed for lenders in Armenia, it provides a risk score and explanatory factors but is a prototype with proprietary implementation; no source code is included in this repository.