Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing

Chlorophyll content is an important indicator of the growth status of japonica rice. The objective of this paper is to develop an inversion model that can predict japonica rice chlorophyll content by using hyperspectral image of rice canopy collected with unmanned aerial vehicle (UAV). UAV-based hyp...

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Detalles Bibliográficos
Autores principales: Cao, Yingli, Jiang, Kailun, Wu, Jingxian, Yu, Fenghua, Du, Wen, Xu, Tongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485794/
https://www.ncbi.nlm.nih.gov/pubmed/32915830
http://dx.doi.org/10.1371/journal.pone.0238530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485794/
https://www.ncbi.nlm.nih.gov/pubmed/32915830
http://dx.doi.org/10.1371/journal.pone.0238530

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