AI-Powered Remote Sensing for Sustainable Farming Using Deep Learning

Overview

This project aims to enhance agricultural sustainability in the UAE by developing an AI-powered remote sensing framework for large-scale, non-invasive farm monitoring. Leveraging hyperspectral and multispectral satellite imagery combined with machine learning models, the system will enable automated detection of crop type, vegetation health, soil salinity, and irrigation anomalies.

By integrating satellite data with ground-truth observations, the project provides real-time, actionable insights to farmers, policymakers, and agritech stakeholders through an interactive geospatial decision-support platform. The framework is designed to improve resource efficiency, support sustainable land and water management, and strengthen food security in arid environments, aligning with national sustainability and economic development strategies.