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Peer-reviewedCC BYSensors (Basel, Switzerland)

Early Detection of Pepper Wilt Disease Using Unmanned Aerial Vehicle-Based Multispectral Time-Series Imagery

  • Gangin Je1
  • Yeseong Kang2
  • Chanseok Ryu1
  • Changhyeok Park1
  • Hojun Kwon1
  • Dohyun An2
  • Jian Kim2
  • Sihyeong Jang3
  1. 1Department of Bio-System Engineering, Institute of Agriculture & Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea; (G.J.); (C.R.); (C.P.); (H.K.)
  2. 2Department of Smart Agro-Industry, Institute of Agriculture & Life Science, Gyeongsang National University, Jinju 52725, Republic of Korea; (D.A.); (J.K.)
  3. 3Fruit Research Division, National Institute of Horticultural & Herbal Science, Wanju 55365, Republic of Korea;
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Cite

BibTeXRIS
BibTeX
@article{je2026early,
  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},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667695},
  note = {CC BY},
}
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
DA  - 2026/09/26
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667695
SN  - 1424-8220
ER  -