Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning
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Title
Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning
Authors
Keywords
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Journal
Remote Sensing
Volume 10, Issue 2, Pages 202
Publisher
MDPI AG
Online
2018-01-30
DOI
10.3390/rs10020202
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- Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
- (2012) Javier Baluja et al. IRRIGATION SCIENCE
- Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data
- (2012) Markus Immitzer et al. Remote Sensing
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- (2011) Yunseop Kim et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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- (2011) Xin Miao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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