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Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment

Published Print: 2015-11

Authors

Rapaport, Tal

Hochberg, Uri

Shoshany, Maxim

Karnieli, Arnon

Rachmilevitch, Shimon
Funding

Funding for this research was provided by:

Israeli Ministry of Agriculture and Rural Development (#857-0712-14)
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This article is maintained by: Elsevier

Article Title: Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment

Journal Title: ISPRS Journal of Photogrammetry and Remote Sensing

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.isprsjprs.2015.09.003

Content Type: article

Copyright: Copyright © 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.

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