Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

BACKGROUND: To accurately estimate winter wheat leaf area index (LAI) using unmanned aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization management, and development of precision agriculture. METHODS: The UAV hyperspectral imaging data, Analytical Spectral...

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Detalles Bibliográficos
Autores principales: Zhang, Juanjuan, Cheng, Tao, Guo, Wei, Xu, Xin, Qiao, Hongbo, Xie, Yimin, Ma, Xinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094481/
https://www.ncbi.nlm.nih.gov/pubmed/33941211
http://dx.doi.org/10.1186/s13007-021-00750-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094481/
https://www.ncbi.nlm.nih.gov/pubmed/33941211
http://dx.doi.org/10.1186/s13007-021-00750-5

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