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

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...

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Bibliographic Details
Main Authors: José Luis Morales-Reyes, Héctor-Gabriel Acosta-Mesa, Elia-Nora Aquino-Bolaños, Socorro Herrera Meza, Aldo Márquez Grajales
Format: Article
Language:English
Published: PAGEPress Publications 2023-08-01
Series:Journal of Agricultural Engineering
Subjects:
Anthocyanin estimation
bean landrace
colour distribution
probabilistic representation
machine learning
Online Access:https://agroengineering.org/index.php/jae/article/view/1421

Internet

https://agroengineering.org/index.php/jae/article/view/1421

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