Direct UAV-Based Detection of Botrytis cinerea in Vineyards Using Chlorophyll-Absorption Indices and YOLO Deep Learning
- DOI
- 10.3390/s26020374
- Published
- 2026-01-06
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26020374,
title = {Direct UAV-Based Detection of Botrytis cinerea in Vineyards Using Chlorophyll-Absorption Indices and YOLO Deep Learning},
author = {Guillem Montalban-Faet and Enrique Pérez-Mateo and Rafael Fayos-Jordan and Pablo Benlloch-Caballero and Aleksandr Lada and Jaume Segura-Garcia and Miguel Garcia-Pineda},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26020374},
url = {https://doi.org/10.3390/s26020374}
}RIS
TY - JOUR TI - Direct UAV-Based Detection of Botrytis cinerea in Vineyards Using Chlorophyll-Absorption Indices and YOLO Deep Learning AU - Guillem Montalban-Faet AU - Enrique Pérez-Mateo AU - Rafael Fayos-Jordan AU - Pablo Benlloch-Caballero AU - Aleksandr Lada AU - Jaume Segura-Garcia AU - Miguel Garcia-Pineda PY - 2026 JO - Sensors DO - 10.3390/s26020374 UR - https://doi.org/10.3390/s26020374 ER -
APA
Montalban-Faet, G., Pérez-Mateo, E., Fayos-Jordan, R., Benlloch-Caballero, P., Lada, A., Segura-Garcia, J., & Garcia-Pineda, M. (2026). Direct UAV-Based Detection of Botrytis cinerea in Vineyards Using Chlorophyll-Absorption Indices and YOLO Deep Learning. Sensors. https://doi.org/10.3390/s26020374
Source records
- crossref · retrieved 2026-09-25T21:12:16.255Z