Machine learning classification achieving 98.7% F1-score for opium poppy detection with rigorous spatial cross-validation and explainable AI analysis.
Phenology-driven framework achieving 93.3% accuracy in mapping 732,345 hectares of rice cultivation across Telangana, India.
📊 Comprehensive Climate Study (1950-2022) A detailed analysis of Rome’s changing climate using advanced data analysis and machine learning techniques. This project offers insights …
Published Research: This project evolved into a peer-reviewed publication achieving 93.3% accuracy in mapping 732,345 hectares of rice cultivation across Telangana, India. In this …
This project implements a land cover classification system for the Pavia region in Italy, utilizing a fusion of Sentinel-1 and Sentinel-2 satellite data within the Google Earth …