Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data

Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data

Mid-season nitrogen (N) application in rice crops can maximize yield and profitability. This requires accurate and efficient methods of determining rice N uptake in order to prescribe optimal N amounts for topdressing. This study aims to determine the accuracy of using remotely sensed multispectral...

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Bibliographic Details
Main Authors: James Brinkhoff, Brian W. Dunn, Andrew J. Robson, Tina S. Dunn, Remy L. Dehaan
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
rice
nitrogen management
remote sensing
multispectral imagery
reflectance index
multiple variable linear regression
Lasso model
Online Access:https://www.mdpi.com/2072-4292/11/15/1837

Internet

https://www.mdpi.com/2072-4292/11/15/1837

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