Grapevine dormant pruning weight prediction using remotely sensed data

Grapevine dormant pruning weight prediction using remotely sensed data Aerial image analysis was utilised to predict dormant pruning weights between two growing seasons. We utilised an existing in‐row spacing trial in order to examine the relationship between dormant pruning weights and remotely sensed data. The experimental vineyard had a constant between‐row spacing (2.44 m) and five different in‐row spacings (0.91, 1.52, 2.13, 2.74 and 3.35 m) resulting in spatial variation in canopy volume and dormant pruning weights (kg/metre of row). It was shown that the ratio vegetation index (NIR/R) was linearly correlated with field‐wide measurements of pruning weight density (dormant pruning weight per metre of canopy) for both the 1998 and 1999 growing seasons (r2= 0.68 and 0.88, respectively). Additionally, it was shown that the regression parameters remained consistent between the two growing seasons allowing for an inter‐annual comparison such that the vegetation index vs canopy parameter relationship determined for the 1998 growing season was used to predict field‐wide pruning weight densities in the 1999 growing season prior to harvest. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Australian Journal of Grape and Wine Research Wiley

Grapevine dormant pruning weight prediction using remotely sensed data

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Publisher
Wiley
Copyright
Copyright © 2003 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1322-7130
eISSN
1755-0238
DOI
10.1111/j.1755-0238.2003.tb00267.x
Publisher site
See Article on Publisher Site

Abstract

Aerial image analysis was utilised to predict dormant pruning weights between two growing seasons. We utilised an existing in‐row spacing trial in order to examine the relationship between dormant pruning weights and remotely sensed data. The experimental vineyard had a constant between‐row spacing (2.44 m) and five different in‐row spacings (0.91, 1.52, 2.13, 2.74 and 3.35 m) resulting in spatial variation in canopy volume and dormant pruning weights (kg/metre of row). It was shown that the ratio vegetation index (NIR/R) was linearly correlated with field‐wide measurements of pruning weight density (dormant pruning weight per metre of canopy) for both the 1998 and 1999 growing seasons (r2= 0.68 and 0.88, respectively). Additionally, it was shown that the regression parameters remained consistent between the two growing seasons allowing for an inter‐annual comparison such that the vegetation index vs canopy parameter relationship determined for the 1998 growing season was used to predict field‐wide pruning weight densities in the 1999 growing season prior to harvest.

Journal

Australian Journal of Grape and Wine ResearchWiley

Published: Oct 1, 2003

References

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