Determination of the degree of fermentation of cocoa through different techniques of artificial vision

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© 2018 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved. This article presents the results of the application of several computer vision methods on the fermentation process of cocoa beans. The analyzed methods are: Vector quantification, kmeans, fuzzy clustering. With these methods, the training and classification of the images of the cocoa beans in the fermentation process has been developed, these methods have been codified in m files of MATLAB and have allowed to estimate the level of fermentation of the cocoa from the information of the color in RGB format with 75% certainty. This work is based on the technique of sensory profiles, used empirically by farmers in charge of cocoa cultivation.


ConferenciaIndustry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2019
Título abreviadoLACCEI 2019
País/TerritorioEstados Unidos

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