Review on Deep Learning-Based Classification Techniques for Cocoa Quality Testing

Cocoa is an essential ingredient in chocolate and chocolate-flavoured treats. Chocolate is one of the world's most desired foods because of its worldwide popularity. It is necessary to test the quality of cocoa to produce high-quality chocolate. Early prediction and classification of the cocoa computer vision system are required. In computer vision systems, deep learning methods are used for accuracy prediction based on the morphological characteristics of cocoa and its types. This manuscript provides a review of deep learning-based techniques that are used for the testing of cocoa beans based on morphological characteristics and cocoa types.