Anthocyanins estimation in homogeneous bean landrace (<em>Phaseolus vulgaris</em> L.) using probabilistic representation and convolutional neural networks

Studying chemical components in food of natural origin allows us to understand their nutritional contents. However, nowadays, this analysis is performed using invasive methods that destroy the sample under study. These methods are also expensive and time-consuming. Computer vision is a non-invasive...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	José Luis Morales-Reyes, Héctor-Gabriel Acosta-Mesa, Elia-Nora Aquino-Bolaños, Socorro Herrera Meza, Aldo Márquez Grajales
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	PAGEPress Publications 2023-08-01
Σειρά:	Journal of Agricultural Engineering
Θέματα:	Anthocyanin estimation bean landrace colour distribution probabilistic representation machine learning
Διαθέσιμο Online:	https://agroengineering.org/index.php/jae/article/view/1421
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