Stress-Crack detection in maize kernels based on machine vision

•We designed a hardware system which can detect cracks accurately and efficiently.•We propose a cascade model using machine-vision to detect cracks automatically.•We find three empirical constraints to distinguish the real cracks from noises.•We integrate the algorithm and hardware to obtain an auto...

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Veröffentlicht in:	Computers and electronics in agriculture 2022-03, Vol.194, p.106795, Article 106795
Hauptverfasser:	Li, Jia, Zhao, Bo, Wu, Jincan, Zhang, Shuaiyang, Lv, Chengxu, Li, Lin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cascade model Classification Constraint Corn Cracks Flaw detection Hardware Kernels Machine vision Maize kernel Segmentation Stress-crack detection
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