Integrating environmental and satellite data to estimate county-level cotton yield in Xinjiang Province

Integrating environmental and satellite data to estimate county-level cotton yield in Xinjiang Province

Accurate and timely estimation of cotton yield over large areas is essential for precision agriculture, facilitating the operation of commodity markets and guiding agronomic management practices. Remote sensing (RS) and crop models are effective means to predict cotton yield in the field. The satell...

Full description

Bibliographic Details
Main Authors: Ping Lang, Lifu Zhang, Changping Huang, Jiahua Chen, Xiaoyan Kang, Ze Zhang, Qingxi Tong
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Plant Science
Subjects:
remote sensing
climate variables
GEE
deep learning
yield estimation
cotton
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.1048479/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.1048479/full

Similar Items