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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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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MDPI AG
2026-01-01
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| Serie: | Applied Sciences |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2076-3417/16/3/1247 |
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