Cargando…
Estimation of a New Canopy Structure Parameter for Rice Using Smartphone Photography
The objective of this study was to develop a low-cost method for rice growth information obtained quickly using digital images taken with smartphone. A new canopy parameter, namely, the canopy volume parameter (CVP), was proposed and developed for rice using the leaf area index (LAI) and plant heigh...
Autores principales: | Yu, Ziyang, Ustin, Susan L., Zhang, Zhongchen, Liu, Huanjun, Zhang, Xinle, Meng, Xiangtian, Cui, Yang, Guan, Haixiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412381/ https://www.ncbi.nlm.nih.gov/pubmed/32707649 http://dx.doi.org/10.3390/s20144011 |
Ejemplares similares
-
Assessment of FSDAF Accuracy on Cotton Yield Estimation Using Different MODIS Products and Landsat Based on the Mixed Degree Index with Different Surroundings
por: Meng, Linghua, et al.
Publicado: (2021) -
Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography
por: Wu, Jinyong, et al.
Publicado: (2022) -
Rapid assessment of forest canopy and light regime using smartphone hemispherical photography
por: Bianchi, Simone, et al.
Publicado: (2017) -
Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data
por: Zhou, Kai, et al.
Publicado: (2017) -
Sky-canopy border length, exposure and thresholding influence accuracy of hemispherical photography for complex plant canopies
por: Song, Guo-Zhang M., et al.
Publicado: (2018)