Open Access
| Issue |
E3S Web Conf.
Volume 699, 2026
11th International Conference on Energy and City of the Future (EVF’2024)
|
|
|---|---|---|
| Article Number | 04002 | |
| Number of page(s) | 9 | |
| Section | Materials, Physics and Factories of the Future | |
| DOI | https://doi.org/10.1051/e3sconf/202669904002 | |
| Published online | 20 March 2026 | |
- Z. Xue, R. Xu, D. Bai, et H. Lin, « YOLO-Tea: A Tea Disease Detection Model Improved by YOLOv5 », Forests 14(2), 415 (2023). https://doi.org/10.3390/f14020415 [Google Scholar]
- U. Ali, M. A. Ismail, R. A. Ariyaluran Habeeb, et S. R. Ali Shah, « Performance Evaluation of YOLO Models in Plant Disease Detection », JIWE 3(2), 199-211 (2024). https://doi.org/10.33093/jiwe.2024.3.2.15 [Google Scholar]
- M. P. Mathew et T. Y. Mahesh, « Leaf-based disease detection in bell pepper plant using YOLO v5 », SIViP 16(3), 841-847 (2022). https://doi.org/10.1007/s11760-021-02024-y [CrossRef] [Google Scholar]
- N. Chitraningrum et al., « Comparison Study of Corn Leaf Disease Detection based on Deep Learning YOLO-v5 and YOLO-v8 », J. Eng. Technol. Sci. 56(1), 61-70 (2024). https://doi.org/10.5614/j.eng.technol.sci.2024.56.1.5 [Google Scholar]
- N. Wichapha Kumpala et P. Prasomsab, « Sugar Cane Red Stripe Disease Detection using YOLO CNN of Deep Learning Technique », 8(2), 2022. [Google Scholar]
- R. N., M. C., T. N. G., A. S., et F. K. G., « Plant Disease Detection Using Yolo Machine Learning Approach », British Journal of Computer, Networking and Information Technology 7(2), 115-129 (2024). https://doi.org/10.52589/BJCNIT-EJWGFW6D [Google Scholar]
- J. Chu, Y. Li, H. Feng, X. Weng, et Y. Ruan, « Research on Multi-Scale Pest Detection and Identification Method in Granary Based on Improved YOLOv5 », Agriculture 13(2), 364 (2023). https://doi.org/10.3390/agriculture13020364 [Google Scholar]
- M. P. Reddy, « Mulberry leaf disease detection using YOLO », 2021. [Google Scholar]
- R. Agustian, S. I. Ishak, F. P. Utama, K. D. Dinata, et N. Daratha, « Deep learning pest detection on Indonesian red chili pepper plant based on fine-tuned YOLOv5 », Int. J. Adv. [Google Scholar]
- Intell. Informatics 9(3), 383 (2023). https://doi.org/10.26555/ijain.v9i3.864 [Google Scholar]
- J. Zhang, « Evolution of YOLO: A Comparative Analysis of YOLOv5, YOLOv8, and YOLOv10 », Applied and Computational Engineering 119, 173–181 (2025). https://doi.org/10.54254/2755-2721/2025.21591 [Google Scholar]
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