Inventors: Sai Sesha Chalapathi Gattupalli

Computational learning through context adaptation aims to optimize agricultural practices by leveraging adaptive algorithms that analyze contextual data. These algorithms, often powered by machine learning and AI, process real-time environmental variables such as soil moisture, weather patterns, and crop health indicators. By adapting to changing conditions, they optimize irrigation schedules.