Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods

Timely monitoring and precise estimation of the leaf chlorophyll contents of maize are crucial for agricultural practices. The scale effects are very important as the calculated vegetation index (VI) were crucial for the quantitative remote sensing. In this study, the scale effects were investigated...

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Detalles Bibliográficos
Autores principales: Guo, Yahui, Yin, Guodong, Sun, Hongyong, Wang, Hanxi, Chen, Shouzhi, Senthilnath, J., Wang, Jingzhe, Fu, Yongshuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570550/
https://www.ncbi.nlm.nih.gov/pubmed/32916808
http://dx.doi.org/10.3390/s20185130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570550/
https://www.ncbi.nlm.nih.gov/pubmed/32916808
http://dx.doi.org/10.3390/s20185130

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