Feature-adaptive anomaly detection model for onion inspection system
Traditional industrial onion inspection relies heavily on manual labor, making it both time-consuming and prone to human error. We propose a novel automated onion inspection system comprising a Vision-Based Inspection Module (VBIM) for detecting defective onions and a Defective Onion Filtering Modul...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525002163 |
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