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

Components

- Data collection and preprocessing (satellite, ground sensors, climate data). - Machine learning model development (Random Forest, CNNs, RNNs). - Android-based application design and deployment. - Validation of soil moisture-nutrient predictions using in-situ data.