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Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs)
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An Improved YOLOv8 Algorithm for Rail Surface Defect Detection
Wang, Y., Zhang, K., Wang, L., & Wu, L. (2024) · IEEE Access · doi:10.1109/access.2024.3380009 · Cited by 82
Precision agriculture with YOLO-Leaf: advanced methods for detecting apple leaf diseases
Li, T., Zhang, L., & Lin, J. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1452502 · Cited by 47
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Metadata
- Authors
- Gupta, C., Gill, N. S., Gulia, P., Duhan, S., Alduaiji, N., Shukla, P. K., & Dwivedi, A.
- Venue
- BioData Mining
- Published
- 2025-11-24
- Volume
- 18
- Issue
- 1
- ISSN
- 1756-0381
- Cited by
- 20
- References
- 2
- Language
- en
- Licence
- creativecommons.org/licenses/by-nc-nd/4.0 (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0 (vor, 36 d)
- Funders
- Manipal University Jaipur
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- This page
- CoChat. (2026). Citation check: Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs). https://app.cochat.ai/papers/10.1186/s13040-025-00497-y
- The paper
- Gupta, C., Gill, N. S., Gulia, P., Duhan, S., Alduaiji, N., Shukla, P. K., & Dwivedi, A. (2025). Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs). BioData Mining. https://doi.org/10.1186/s13040-025-00497-y
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.