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Use of thermal and visible imagery for estimating crop water status of irrigated grapevine
Year:
2007
Source of publication :
Journal of Experimental Botany
Authors :
Alchanatis, Victor
;
.
Cohen, Shabtai
;
.
Cohen, Yafit
;
.
Moeller, Markus
;
.
Ostrovsky, Viacheslav
;
.
Volume :
58
Co-Authors:
Möller, M., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Meron, M., Crop Ecology Laboratory, Migal, PO Box 831, 11016 Kiryat Shmona, Israel
Tsipris, J., Crop Ecology Laboratory, Migal, PO Box 831, 11016 Kiryat Shmona, Israel
Naor, A., Golan Research Institute, PO Box 97, 12900 Katzrin, Israel
Ostrovsky, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Sprintsin, M., J. Blaustein Institute for Desert Research, Ben-Gurion University of the Negev, Sede-Boker Campus 84990, Israel
Cohen, S., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Facilitators :
From page:
827
To page:
838
(
Total pages:
12
)
Abstract:
Achieving high quality wine grapes depends on the ability to maintain mild to moderate levels of water stress in the crop during the growing season. This study investigates the use of thermal imaging for monitoring water stress. Experiments were conducted on a wine-grape (Vitis vinifera cv. Merlot) vineyard in northern Israel. Irrigation treatments included mild, moderate, and severe stress. Thermal and visible (RGB) images of the crop were taken on four days at midday with a FLIR thermal imaging system and a digital camera, respectively, both mounted on a truck-crane 15 m above the canopy. Aluminium crosses were used to match visible and thermal images in post-processing and an artificial wet surface was used to estimate the reference wet temperature (Twet). Monitored crop parameters included stem water potential (Ψstem), leaf conductance (gL), and leaf area index (LAI). Meteorological parameters were measured at 2 m height. CWSI was highly correlated with g L and moderately correlated with Ψstem. The CWSI-gL relationship was very stable throughout the season, but for that of CWSI-Ψstem both intercept and slope varied considerably. The latter presumably reflects the non-direct nature of the physiological relationship between CWSI and Ψstem. The highest R2 for the CWSI to gL relationship, 0.91 (n=12), was obtained when CWSI was computed using temperatures from the centre of the canopy, Twet from the artificial wet surface, and reference dry temperature from air temperature plus 5 °C. Using Twet calculated from the inverted Penman-Monteith equation and estimated from an artificially wetted part of the canopy also yielded crop water-stress estimates highly correlated with g L (R2=0.89 and 0.82, respectively), while a crop water-stress index using 'theoretical' reference temperatures computed from climate data showed significant deviations in the late season. Parameter variability and robustness of the different CWSI estimates are discussed. Future research should aim at developing thermal imaging into an irrigation scheduling tool applicable to different crops. © The Author [2006]. Published by Oxford University Press [on behalf of the Society for Experimental Biology]. All rights reserved.
Note:
Related Files :
Crops
grape
image analysis
irrigation
season
soil
Stomatal conductance
temperature
Vitis
water
Show More
Related Content
More details
DOI :
10.1093/jxb/erl115
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
31300
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 01:01
Scientific Publication
Use of thermal and visible imagery for estimating crop water status of irrigated grapevine
58
Möller, M., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Meron, M., Crop Ecology Laboratory, Migal, PO Box 831, 11016 Kiryat Shmona, Israel
Tsipris, J., Crop Ecology Laboratory, Migal, PO Box 831, 11016 Kiryat Shmona, Israel
Naor, A., Golan Research Institute, PO Box 97, 12900 Katzrin, Israel
Ostrovsky, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Sprintsin, M., J. Blaustein Institute for Desert Research, Ben-Gurion University of the Negev, Sede-Boker Campus 84990, Israel
Cohen, S., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, 50250 Bet Dagan, Israel
Use of thermal and visible imagery for estimating crop water status of irrigated grapevine
Achieving high quality wine grapes depends on the ability to maintain mild to moderate levels of water stress in the crop during the growing season. This study investigates the use of thermal imaging for monitoring water stress. Experiments were conducted on a wine-grape (Vitis vinifera cv. Merlot) vineyard in northern Israel. Irrigation treatments included mild, moderate, and severe stress. Thermal and visible (RGB) images of the crop were taken on four days at midday with a FLIR thermal imaging system and a digital camera, respectively, both mounted on a truck-crane 15 m above the canopy. Aluminium crosses were used to match visible and thermal images in post-processing and an artificial wet surface was used to estimate the reference wet temperature (Twet). Monitored crop parameters included stem water potential (Ψstem), leaf conductance (gL), and leaf area index (LAI). Meteorological parameters were measured at 2 m height. CWSI was highly correlated with g L and moderately correlated with Ψstem. The CWSI-gL relationship was very stable throughout the season, but for that of CWSI-Ψstem both intercept and slope varied considerably. The latter presumably reflects the non-direct nature of the physiological relationship between CWSI and Ψstem. The highest R2 for the CWSI to gL relationship, 0.91 (n=12), was obtained when CWSI was computed using temperatures from the centre of the canopy, Twet from the artificial wet surface, and reference dry temperature from air temperature plus 5 °C. Using Twet calculated from the inverted Penman-Monteith equation and estimated from an artificially wetted part of the canopy also yielded crop water-stress estimates highly correlated with g L (R2=0.89 and 0.82, respectively), while a crop water-stress index using 'theoretical' reference temperatures computed from climate data showed significant deviations in the late season. Parameter variability and robustness of the different CWSI estimates are discussed. Future research should aim at developing thermal imaging into an irrigation scheduling tool applicable to different crops. © The Author [2006]. Published by Oxford University Press [on behalf of the Society for Experimental Biology]. All rights reserved.
Scientific Publication
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