Soybean seedling detection and counting from UAV images based on an improved YOLOv8 Network

6 citations as recorded by crossref.

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3. GAS-YOLO: a robust soybean seedling detection model trained on single-scene UAV data for complex field environments H. Wu et al. https://doi.org/10.1186/s13007-026-01540-7
4. Pineapples Health Detection Using Deep Learning Models E. Pereira et al. https://doi.org/10.1109/ACCESS.2026.3660135
5. D2FNet: A Lightweight Dual-Driven Texture–Semantic Fusion Network for Fine-Grained Real-Time UAV Weed–Crop Detection C. Zhu et al. https://doi.org/10.3390/agriculture16101067
6. A DRCF-YOLO based method for rice seedling detection and density distribution mapping in UAV imagery J. Dong et al. https://doi.org/10.1016/j.atech.2026.102160