Plant phenomics & precision agriculture simulation of winter wheat growth by the assimilation of unmanned aerial vehicle imagery into the WOFOST model.
The aim of this study is to optimize the simulation result of the WOFOST model and explore the possibility of assimilating unmanned aerial vehicle (UAV) imagery into this model. Field images of wheat during its key growth stages are acquired with a UAV, and the corresponding leaf area index (LAI), b...
Guardado en:
Autores principales: | Tianle Yang, Weijun Zhang, Tong Zhou, Wei Wu, Tao Liu, Chengming Sun |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2f2223d7faa04609b0d85238dd222009 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey
por: Jia Liu, et al.
Publicado: (2021) -
Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
por: Gordillo-Salinas,Víctor Manuel, et al.
Publicado: (2021) -
Use of unmanned aerial vehicle to calculate soil loss
por: Ana Karolyna Nunes Amaral, et al.
Publicado: (2021) -
A Survey of Cyberattack Countermeasures for Unmanned Aerial Vehicles
por: Peng-Yong Kong
Publicado: (2021) -
Applications of unmanned aerial vehicles in Antarctic environmental research
por: Antonio Tovar-Sánchez, et al.
Publicado: (2021)