Detection of Small Target Diseases on Apple Leaves Based on AL-YOLO

DOI

10.2991/978-94-6463-910-0_28How to use a DOI?

Keywords

small target; apple leaf disease; YOLOv11; target detection; feature fusion

Abstract

Aiming at the detection difficulty caused by the small size of small target diseases on apple leaves, this paper constructs a dedicated small target apple leaf disease dataset Apple3 based on the Apple9 classification dataset. Based on YOLOv11n, a lightweight detection algorithm AL-YOLO is proposed. The algorithm designs an Adaptive Efficient Channel and Spatial Attention module (AECSA) to enhance the feature extraction ability of the backbone network for small target disease regions; constructs a Small Object Feature Fusion module (SOFF) to optimize the feature fusion in the neck of the model and improve the interaction effect between multi-scale information; introduces the Wise-IoU loss function to further improve the positioning accuracy of bounding box regression. Experimental results show that on the Apple3 dataset, the Precision, Recall, mAP0.5 and mAP0.5:0.95 of AL-YOLO are 4.4%, 0.2%, 2.2% and 1.3% higher than those of the baseline model respectively, which significantly improves the detection performance of small target diseases. This method balances detection accuracy and computational efficiency, has good application potential, and provides effective technical support for precision agricultural disease monitoring.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Guangtao Zhai
AU  - Ying Jiang
AU  - Lu Zhou
AU  - Jiangtao Mao
AU  - Huijun Zhang
PY  - 2025
DA  - 2025/12/15
TI  - Detection of Small Target Diseases on Apple Leaves Based on AL-YOLO
BT  - Proceedings of the 2025 2nd International Symposium on Agricultural Engineering and Biology (ISAEB 2025)
PB  - Atlantis Press
SP  - 253
EP  - 270
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-910-0_28
DO  - 10.2991/978-94-6463-910-0_28
ID  - Zhai2025
ER  -