Two-year remote sensing and ground verification: Estimating chlorophyll content in winter wheat using UAV multi-spectral imagery
Leaf chlorophyll content serves as a critical biophysical indicator for characterizing wheat growth status. Traditional measurement using a SPAD meter, while convenient, is hampered by its localized sampling, low efficiency, and destructive nature, making it unsuitable for high-throughput field appl...
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| Auteurs principaux: | , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
KeAi Communications Co., Ltd.
2026-03-01
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| Collection: | Artificial Intelligence in Agriculture |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2589721725000960 |
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