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Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management

Vineyard water status estimation using multispectral imagery from an UAV platform and machine... http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers and Electronics in Agriculture CrossRef

Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management

Romero, Maria; Luo, Yuchen; Su, Baofeng; Fuentes, Sigfredo
Computers and Electronics in Agriculture , Volume 147: 109-117 – Apr 1, 2018
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Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management

Romero, Maria; Luo, Yuchen; Su, Baofeng; Fuentes, Sigfredo
Computers and Electronics in Agriculture , Volume 147: 109-117 – Apr 1, 2018

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Publisher
CrossRef
Copyright
© 2018 Elsevier B.V. All rights reserved.
ISSN
0168-1699
DOI
10.1016/j.compag.2018.02.013
Publisher site
See Article on Publisher Site

Abstract

Journal

Computers and Electronics in Agriculture – CrossRef

Published: Apr 1, 2018

References

  • Spatial extrapolation of the vine (Vitis vinifera L.) water status: a first step towards a spatial prediction model
    Acevedo-Opazo
  • Is it possible to assess the spatial variability of vine water status?
    Acevedo-Opazo
  • Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
    Baluja