BSS-YOLO: honey peach ripeness detection in complex orchard scenes under simulated adverse-weather conditions and its implications for fruit industry management
- DOI
- 10.3389/fpls.2026.1929998
- Published
- 2026-10-06
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1929998,
title = {BSS-YOLO: honey peach ripeness detection in complex orchard scenes under simulated adverse-weather conditions and its implications for fruit industry management},
author = {Junwei Tian and Xiaoye Zhang and Feipeng Gao and Jie Yang and Cong Zhou},
year = {2026},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2026.1929998},
url = {https://doi.org/10.3389/fpls.2026.1929998}
}RIS
TY - JOUR TI - BSS-YOLO: honey peach ripeness detection in complex orchard scenes under simulated adverse-weather conditions and its implications for fruit industry management AU - Junwei Tian AU - Xiaoye Zhang AU - Feipeng Gao AU - Jie Yang AU - Cong Zhou PY - 2026 JO - Frontiers in Plant Science DO - 10.3389/fpls.2026.1929998 UR - https://doi.org/10.3389/fpls.2026.1929998 ER -
APA
Tian, J., Zhang, X., Gao, F., Yang, J., & Zhou, C. (2026). BSS-YOLO: honey peach ripeness detection in complex orchard scenes under simulated adverse-weather conditions and its implications for fruit industry management. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2026.1929998
Source records
- crossref · retrieved 2026-11-10T10:42:20.014Z