Cocoa Pod

Cocoa pod research spans diverse areas, from disease detection to optimizing cultivation practices. Current efforts leverage computer vision and deep learning, employing models like EfficientDet-Lite4 and YOLO, to analyze images for disease identification and yield prediction, improving efficiency and accuracy compared to manual methods. These advancements, coupled with satellite imagery analysis for mapping cocoa plantations, offer significant potential for enhancing sustainable cocoa production, informing policy decisions, and improving the livelihoods of cocoa farmers. The development of AI-driven tools also promises to address challenges in precision agriculture and resource management within the cocoa industry.