ReviewFood science and biotechnology2025
AI technologies shaping the future of the cocoa industry from farm to fork: a comprehensive review.
Review in Food science and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Challenges such as a downward trend in cultivation and post-harvest losses lead to increased gap in cocoa bean supply and demand. This review deals with the recent AI models used in farming, processing, and supply chain of cocoa beans. Farming models viz. XAI-CROP, Random Forest, and Gradient Boosting can detect cocoa diseases, recommend appropriate pesticides, enable targeted crop spraying, count the number of pods on cocoa trees, and indicate cocoa pod ripeness. Processing models involving AI viz. Artificial Neural Network, Bootstrap Forest fermentation, and Particle Swarm Optimisation were explored for their efficiency in technological steps viz Graphical abstract:
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