In a push towards agricultural advancement, the Ghana Crop Disease Detection Challenge Ecosystem has recognized and rewarded three pioneering solutions that leverage Artificial Intelligence (AI) to combat crop diseases. The initiative, organized by the Responsible AI Lab (RAIL) and FAIR Forward (GIZ), showcased cutting-edge AI solutions developed to pinpoint and address various crop diseases.
The winning solutions employ lightweight, offline AI models adept at detecting and isolating crop diseases with notable accuracy. These models are designed to function effectively in areas with limited resources, offering practical insights for smallholder farmers.
The first prize of ₵65,000 was awarded to Ronny Polle and Adeyinka Sotunde. Stefan Strydom secured second place, receiving ₵40,000, while Raphael Laibuni Kiminya claimed third place with a reward of ₵25,000.
Professor Jerry John Kponyo, Principal Investigator and Scientific Director of RAIL, affirmed the lab’s dedication to utilizing AI for Sustainable Development Goals across sectors like health, agriculture, education, and energy. He also mentioned RAIL’s collaboration with the Plant Protection and Regulatory Services (PPRSD) and the Ministry of Agriculture to gather Afrocentric datasets on crop diseases.
Mr. Elikplim Sabblah, Technical Advisor for FAIR Forward, GIZ, restated GIZ’s commitment to promoting AI in Ghana and beyond. He emphasized the relevance of events that examine the intersection of AI, climate change, and agriculture in contributing to the Sustainable Development Goals.
The event brought together key figures from AI, climate change, and agriculture to explore inventive solutions for sustainable development. Participants represented institutions such as the Crop Research Institute (CRI), the Ministry of Food and Agriculture, and various AI-focused organizations.
