YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments

YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments

Accurate object detection is a fundamental component of autonomous apple-picking systems. In response to the insufficient recognition performance and poor generalization capacity of existing detection algorithms under unstructured orchard scenarios, we constructed a customized apple image dataset ca...

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Bibliographic Details
Main Authors: Yangtian Lin, Yujun Xia, Pengcheng Xia, Zhengyang Liu, Haodi Wang, Chengjin Qin, Liang Gong, Chengliang Liu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agriculture
Subjects:
YOLO11-ARAF
diverse orchard environment
deep learning
apple detection
Online Access:https://www.mdpi.com/2077-0472/15/10/1104
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