Objective
The project seeks to develop a poultry diseases diagnostics tool using deep learning for poultry farmers in Tanzania. The diagnostics tool is aimed at early detection of Coccidiosis, Salmonella and Newcastle disease virus from fecal samples. The project is funded by the Organization of Women in Science for the Developing World (OWSD) under the Early Career Fellowship Program. The project is ongoing until November, 2021. The ongoing activities include:
- Generation of Training/Testing dataset
- Diagnostics
- Detection of pathogens in test images
Members
Dr. Dina Machuve
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