Real-Time Wheat Unsound Kernel Classification Detection Based on Improved YOLOv5

China is one of the largest wheat production countries in the world. The wheat quality determines the price and many other aspects. The detection methods of wheat quality mainly depend on manual labor. It costs high amount of manpower and time, and the classification results are partly affected by d...

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Veröffentlicht in:	Journal of advanced computational intelligence and intelligent informatics Jg. 27; H. 3; S. 474 - 480
Hauptverfasser:	Zhang, Zhaohui, Zuo, Zengyang, Li, Zhi, Yin, Yuguo, Chen, Yan, Zhang, Tianyao, Zhao, Xiaoyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Tokyo Fuji Technology Press Co. Ltd 01.05.2023
Schlagworte:	Accuracy Algorithms Classification Datasets Deep learning Identification Identification methods Informatics Kernels Machine vision Methods Object recognition Physical work Vision systems Wheat
ISSN:	1343-0130, 1883-8014
Online-Zugang:	Volltext
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