Early Detection of Pepper Wilt Disease Using Unmanned Aerial Vehicle-Based Multispectral Time-Series Imagery
- DOI
- 10.3390/s26196119
- Published
- 2026-09-26
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26196119,
title = {Early Detection of Pepper Wilt Disease Using Unmanned Aerial Vehicle-Based Multispectral Time-Series Imagery},
author = {Gangin Je and Yeseong Kang and Chanseok Ryu and Changhyeok Park and Hojun Kwon and Dohyun An and Jian Kim and Sihyeong Jang},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26196119},
url = {https://doi.org/10.3390/s26196119}
}RIS
TY - JOUR TI - Early Detection of Pepper Wilt Disease Using Unmanned Aerial Vehicle-Based Multispectral Time-Series Imagery AU - Gangin Je AU - Yeseong Kang AU - Chanseok Ryu AU - Changhyeok Park AU - Hojun Kwon AU - Dohyun An AU - Jian Kim AU - Sihyeong Jang PY - 2026 JO - Sensors DO - 10.3390/s26196119 UR - https://doi.org/10.3390/s26196119 ER -
APA
Je, G., Kang, Y., Ryu, C., Park, C., Kwon, H., An, D., Kim, J., & Jang, S. (2026). Early Detection of Pepper Wilt Disease Using Unmanned Aerial Vehicle-Based Multispectral Time-Series Imagery. Sensors. https://doi.org/10.3390/s26196119
Source records
- crossref · retrieved 2026-11-10T08:04:29.431Z