Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation

Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation

Potassium (K) plays a significant role in the formation of crop quality and yield. Accurate estimation of plant potassium content using remote sensing (RS) techniques is therefore of great interest to better manage crop K nutrition. To improve RS of crop K, meteorological information might prove use...

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Bibliographic Details
Main Authors: Jingshan Lu, Jan U. H. Eitel, Jyoti S. Jennewein, Jie Zhu, Hengbiao Zheng, Xia Yao, Tao Cheng, Yan Zhu, Weixing Cao, Yongchao Tian
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
potassium nutrition
spectral index
machine learning
meteorological factors
optimal model
Online Access:https://www.mdpi.com/2072-4292/13/17/3502

Internet

https://www.mdpi.com/2072-4292/13/17/3502

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