YOLO-WAS: A Lightweight Apple Target Detection Method Based on Improved YOLO11
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- Chenglin Wang & Weiyu Pan & Tianlong Zou & Chunjiang Li & Qiyu Han & Haoming Wang & Jing Yang & Xiangjun Zou, 2024. "A Review of Perception Technologies for Berry Fruit-Picking Robots: Advantages, Disadvantages, Challenges, and Prospects," Agriculture, MDPI, vol. 14(8), pages 1-42, August.
- Liusong Yang & Tian Zhang & Shihan Zhou & Jingtan Guo, 2025. "AAB-YOLO: An Improved YOLOv11 Network for Apple Detection in Natural Environments," Agriculture, MDPI, vol. 15(8), pages 1-25, April.
- Ji Wei & Ding Yi & Xu Bo & Chen Guangyu & Zhao Dean, 2020. "Adaptive Variable Parameter Impedance Control for Apple Harvesting Robot Compliant Picking," Complexity, Hindawi, vol. 2020, pages 1-15, April.
- Yangtian Lin & Yujun Xia & Pengcheng Xia & Zhengyang Liu & Haodi Wang & Chengjin Qin & Liang Gong & Chengliang Liu, 2025. "YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments," Agriculture, MDPI, vol. 15(10), pages 1-24, May.
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- Zohaib Khan & Yue Shen & Hui Liu, 2025. "ObjectDetection in Agriculture: A Comprehensive Review of Methods, Applications, Challenges, and Future Directions," Agriculture, MDPI, vol. 15(13), pages 1-36, June.
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