Defective Wheat Kernel Recognition Using EfficientNet with Attention Mechanism and Multi-Binary Classification

As a globally significant food crop, the assessment of wheat quality is essential for ensuring food security and enhancing the processing quality of agricultural products. Conventional methods for assessing wheat kernel quality are often inefficient and markedly subjective, which hampers their abili...

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Hlavní autoři:	Duolin Wang, Jizhong Li, Han Gong, Jianyi Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	Applied Sciences
Témata:	EfficientNet attention mechanism deep learning wheat kernel quality detection
On-line přístup:	https://www.mdpi.com/2076-3417/16/3/1247
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