Machine Learning Techniques for Coffee Classification: A Comprehensive Review of Scientific Research
Isabela V. de C. Motta,
Nicolas Vuillerme,
Huy-Hieu Pham
et al.
Abstract:In the realm of agribusiness, transformative shifts are underway, propelled by the growing demands and expanding scales of grain production. This evolution calls for a critical reevaluation of the existing paradigms in coffee production and marketing paradigms, with a specific focus on integrating Artificial Intelligence (AI). This work aims to review, synthesize, and summarize the available data regarding how Machine Learning (ML) has been used to detect and classify characteristics in coffee beans and leaves… Show more
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