2024-03-29T05:38:11Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1475812022-06-16T08:30:48Zcom_10261_10735com_10261_2col_10261_10736
Poblete-Echeverría, C.
Fuentes, Sigfredo
De Bei, R.
Ortega-Farias, S.
Diago, Maria P.
Tardáguila, Javier
2017-03-30T08:36:40Z
2017-03-30T08:36:40Z
2013
Ciência e Técnica Vitivinícola 28(1): 738-743 (2013)
http://hdl.handle.net/10261/147581
http://dx.doi.org/10.13039/501100002848
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100010599
Infrared thermal images (IRTI) have been used for grapevine research since the early 90’s. Even though
its promising results
in the
assessment of canopy stomatal conductance and plant
water status, from the beginning and recent research publications, it has not been fully
applied on a commercial scale yet. It is believed that the bottleneck for this technology is the lack
of reliable automation tools for IRTI
analysis. Accurate and reliable automation technique
s will allow the use of this technique to assess the spatial variability of physiological
processes within the canopy using infrared cameras
mounted on moving vehicles, drones, octocopters or robots. Automated analysis systems
are requirement of The Vineyard of The Future initiative, which is an international effort to establis
h fully monitored vineyards in the most
prominent viticultural and winemaking areas in the
world. In this work, a semi-automated IRTI analyses
performed using a code written in
MATLAB® for estimate dry and wet references excluding non-leaf temperatures was compared with evaporimeter (EvapoSensor, Skye Instruments Ltd, Powys, UK) measurements used to provide dry and wet references from IRTIs. Results obtained from this research
(grapevines cv. Tempranillo) showed good and statistically significant correlations between temperatur
e references obtained from IRTI
analysis and measured values. This work constitutes
one additional step forward to the implementation of thermal imaging as an automated
routine technique for physiological vineyard assess
ment from proximal sensing and unmanned aerial vehicles (UAV) platforms.
eng
http://creativecommons.org/licenses/by/4.0
openAccess
MATLAB® programming
Image analysis
Remote sensing
Climate change
Infra-Red thermal image analysis for grapevines
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