AGRO-SOIL-SMART UGANDA: Harnessing Machine Learning and Remote Sensing for Precision Soil Moisture and Nutrient Mapping

The AGRO-SOIL-SMART Uganda project leverages machine learning and remote sensing to create an Android-based system for real-time soil moisture and nutrient mapping. By integrating satellite data, ground sensors, and predictive algorithms, the project will deliver actionable insights to farmers and policymakers, improving crop yields, reducing food insecurity, and supporting sustainable agriculture. The innovation aligns with Uganda’s Vision 2040, NDP III, and global SDGs, offering a scalable solution for precision agriculture in equatorial regions.