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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書誌詳細

主要な著者:	José Luis Morales-Reyes, Héctor-Gabriel Acosta-Mesa, Elia-Nora Aquino-Bolaños, Socorro Herrera Meza, Aldo Márquez Grajales
フォーマット:	Artigo
言語:	Inglês
出版事項:	PAGEPress Publications 2023-08-01
シリーズ:	Journal of Agricultural Engineering
主題:	Anthocyanin estimation bean landrace colour distribution probabilistic representation machine learning
オンライン･アクセス:	https://agroengineering.org/index.php/jae/article/view/1421
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