AGRO-SOIL-SMART UGANDA: Harnessing Machine Learning and Remote Sensing for Precision Soil Moisture and Nutrient Mapping
Kavuma Chrish
Goal
To design and validate a novel Android-based system that uses machine learning and remote sensing to provide real-time soil moisture and nutrient maps for Uganda, enhancing agricultural productivity and sustainability.
