The focus of this work is to develop a deep-learning image-based framework for cassava disease diagnosis and control.

This project leverages the power of deep neural collaborative filtering to deliver optimized and accurate learning recommendations to students.

A decision support tool for genotype selection in Cassava breeding Programs. Specifically used for multi-environmental trial analysis.