Current Project · Smart Agriculture
Crop Disease Detection from Leaf Imagery (DEMO)
A deep learning pipeline for early detection of crop diseases from smartphone leaf images, targeting smallholder farmers.
About the Project
DEMO project — replace with real content. This project develops lightweight convolutional models suitable for offline mobile inference, a curated and annotated leaf-image dataset, and a field-testing protocol with agricultural extension partners.
Publications
Research Team
DM
Daniel Mensah
Project Lead
- DM Daniel Mensah Project Lead
- LA Lola Adeyemi Researcher
- SO Sarah Okafor Researcher