The Development of a Lightweight DE-YOLO Model for Detecting Impurities and Broken Rice Grains

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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Bibliographic Details
Main Authors: Zhenwei Liang, Xingyue Xu, Deyong Yang, Yanbin Liu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agriculture
Subjects:
deep learning
object detection
image processing
attention mechanism
Online Access:https://www.mdpi.com/2077-0472/15/8/848
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