The Development of a Lightweight DE-YOLO Model for Detecting Impurities and Broken Rice Grains
A rice impurity detection algorithm model, DE-YOLO, based on YOLOX-s improvement is proposed to address the issues of small crop target recognition and the similarity of impurities in rice impurity detection. This model achieves correct recognition, classification, and detection of rice target crops...
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| Main Authors: | Zhenwei Liang, Xingyue Xu, Deyong Yang, Yanbin Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/8/848 |
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