The goal of the project is to develop a Machine Learning models for early detection of Common bean and Irish potato diseases in the Southern Highlands regions of Tanzania.
The specific objectives of the study are to:
The image pre-processing work is ongoing to reach the target of 120,000+ images for six classes. The dataset that will be shared in ATPS open repositories. The project team will train more model architectures for image classification and object detection for suitable model selection on deployment on mobile application. After model development and testing, the project team will organize workshops, training and dialogues where participants including smallholder farmers, government officials, private sectors etc. will be engaged to discuss matters of mutual benefits. The engagement of multiple stakeholders during the dissemination of project results is important not only in sharing project outcomes but also in collecting the diverse opinions that will help to identify any need for policy review and change 2.2.4 Gender equality and inclusion action