Amini Cocoa Contamination Challenge

​The objective of this challenge is to develop machine learning models to accurately predict all diseases present in images of cocoa. Participants are tasked with creating models that can a) generalise well, even when encountering new diseases not seen in the training set, and b) operate efficiently on edge devices such as the entry-level smartphones used by most subsistence farmers in Africa.

​By developing machine learning models capable of accurately identifying multiple cocoa diseases using smartphones, this challenge will empower farmers with real-time, AI-driven diagnostics accessible through their mobile phones. The ability to detect new and emerging diseases beyond those seen in the training set will improve early intervention strategies, minimising crop losses and reducing reliance on reactive pesticide use.