Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

Soil moisture content (SMC) is an important factor that affects agricultural development in arid regions. Compared with the space-borne remote sensing system, the unmanned aerial vehicle (UAV) has been widely used because of its stronger controllability and higher resolution. It also provides a more...

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Detalles Bibliográficos
Autores principales: Ge, Xiangyu, Wang, Jingzhe, Ding, Jianli, Cao, Xiaoyi, Zhang, Zipeng, Liu, Jie, Li, Xiaohang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Ecosystem Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501779/
https://www.ncbi.nlm.nih.gov/pubmed/31110930
http://dx.doi.org/10.7717/peerj.6926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501779/
https://www.ncbi.nlm.nih.gov/pubmed/31110930
http://dx.doi.org/10.7717/peerj.6926

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