Implementación de una red neuronal convolucional para la clasificación de granos de cacao con pulpa.

Abstract

The complex process to which the classification of cocoa pulp in Ecuador is subjected is undoubtedly a determining factor when it comes to understanding the deficit of the cocoa industry. The complex process to which the classification of cocoa pulp in Ecuador is subjected is undoubtedly a determining factor when it comes to understanding the deficit that the Ecuadorian bean has the deficit that the richness of the Ecuadorian bean has been suffering. Because over time, a classification process has been a process of classification based on organoleptic properties, with texture, texture, flavor, and flavor as traditional indicators such as texture, aroma, flavor and color. That is why, the need to offer an optimal treatment to cocoa beans and, for the benefit of the growers, large industries the benefit of growers, large industries, small producers and consumers, the implementation of a Neuron Network has been proposed. the implementation of a Convolutional Neural Network (CNN) that facilitates and speeds up the classification of cocoa beans with the classification of cocoa beans with pulp. This transfer of learning, through the CNN the CNN will make it possible to develop a system capable of reducing the error rate when classifying cocoa beans. the quality of Ecuador’s ”Nationalçocoa bean, which is characterized by its exquisite flavor characterized by its exquisite flavor and aroma