Three-Dimensional Convolutional Neural Networks (3D-CNN) in the Classification of Varieties and Quality Assessment of Soybean Seeds (<i>Glycine max</i> L. Merrill)

The precise identification, classification, sorting, and rapid and accurate quality assessment of soybean seeds are extremely important in terms of the continuity of agricultural production, varietal purity, seed processing, protein extraction, and food safety. Currently, commonly used methods for t...

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發表在:	Agronomy
Main Authors:	Piotr Rybacki, Kiril Bahcevandziev, Diego Jarquin, Ireneusz Kowalik, Andrzej Osuch, Ewa Osuch, Janetta Niemann
格式:	Article
語言:	英语
出版:	MDPI AG 2025-08-01
主題:	soybean seed quality digital phenotyping 3D-CNN machine learning
在線閱讀:	https://www.mdpi.com/2073-4395/15/9/2074