Potato Surface Defect Detection Based on Deep Transfer Learning
Food defect detection is crucial for the automation of food production and processing. Potato surface defect detection remains challenging due to the irregular shape of potato individuals and various types of defects. This paper employs deep convolutional neural network (DCNN) models for potato surf...
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| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2021-09-01
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| Saila: | Agriculture |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2077-0472/11/9/863 |
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