CA-YOLOv5: A YOLO model for apple detection in the natural environment

CA-YOLOv5: A YOLO model for apple detection in the natural environment

Improving the effectiveness of harvesting robots requires quick and accurate apple detection in natural environments. The colour and shape features of apples are corrupted due to the reflected light and the incomplete coverage of the fruit bag, bringing difficulties to apple detection. To address th...

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Bibliographic Details
Main Authors: Ruotong Yang, Yuanbo He, Zhiwei Hu, Ruibo Gao, Hua Yang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Systems Science & Control Engineering
Subjects:
Apple detection
natural environments
YOLOv5
coordinate attention
bidirectional feature pyramid network
Online Access:https://www.tandfonline.com/doi/10.1080/21642583.2023.2278905

Internet

https://www.tandfonline.com/doi/10.1080/21642583.2023.2278905

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