Mireille Gloria's work focuses on how artificial intelligence can strengthen agricultural resilience against plant diseases. Her research centers on developing deep learning models, particularly convolutional neural networks, for the early detection of pepper diseases such as anthracnose and Tomato Yellow Leaf Curl Virus. She models how weather conditions influence disease severity by integrating field image analysis with climate data. Positioned at the intersection of agriculture, climate, and AI, Mireille’s work seeks to create practical digital tools that support farmers in managing crop health more effectively while advancing food security and sustainable agricultural systems across Africa.