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Rud, R., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Levi, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Brikman, R., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Shenderey, C., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Heuer, B., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Markovitch, T., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Dar, Z., The Agricultural Extension Service, Ministry of Agriculture State of Israel, Bet-Dagan, Israel
Rosen, C., Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States
Mulla, D., Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States
Nigon, T., Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States
Potato yield and quality are highly dependent on an adequate supply of water. In this study, 3 years of information from thermal and RGB images were collected to evaluate water status in potato fields. Irrigation experiments were conducted in commercial potato fields (Desiree; drippers). Two water-deficit scenarios were tested: a short-term water deficit (by suppressing irrigation for a number of days before image acquisition), and a long-term cumulative water deficit. Ground and aerial images were acquired in various phenological stages along the potato growing season. Effects of irrigation treatments were recorded by thermal indices and biophysical measurements of stomatal conductance (SC), leaf water potential, leaf osmotic potential and gravimetric water potential in soil. Canopy temperature was delineated from the thermal images with and without fused information from the RGB image. Crop water stress index (CWSI) was calculated, using three forms of minimum baseline temperature: empirical, theoretical and statistical. An empirical evaluation of maximum baseline temperature of Tair + 7 °C was used in all CWSI forms examined. Statistical tests and comparison of CWSI with biophysical measurements were performed to evaluate the responses to irrigation treatments. The results indicated a high correlation of CWSI with SC from tuber initiation to maturity based on ground and aerial data (0.64 ≤ R2 ≤ 0.99). Similar trends of increasing CWSI from well to deficit-irrigated treatments were found in all three growing seasons. The results also showed that CWSI may be calculated based merely on thermal imagery data. © 2014 Springer Science+Business Media New York.
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הספר "אוצר וולקני"
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תנאי שימוש
Crop water stress index derived from multi-year ground and aerial thermal images as an indicator of potato water status
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Rud, R., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Levi, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Brikman, R., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Shenderey, C., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Heuer, B., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Markovitch, T., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization (ARO), Volcani Center, Bet-Dagan, Israel
Dar, Z., The Agricultural Extension Service, Ministry of Agriculture State of Israel, Bet-Dagan, Israel
Rosen, C., Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States
Mulla, D., Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States
Nigon, T., Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States
Crop water stress index derived from multi-year ground and aerial thermal images as an indicator of potato water status
Potato yield and quality are highly dependent on an adequate supply of water. In this study, 3 years of information from thermal and RGB images were collected to evaluate water status in potato fields. Irrigation experiments were conducted in commercial potato fields (Desiree; drippers). Two water-deficit scenarios were tested: a short-term water deficit (by suppressing irrigation for a number of days before image acquisition), and a long-term cumulative water deficit. Ground and aerial images were acquired in various phenological stages along the potato growing season. Effects of irrigation treatments were recorded by thermal indices and biophysical measurements of stomatal conductance (SC), leaf water potential, leaf osmotic potential and gravimetric water potential in soil. Canopy temperature was delineated from the thermal images with and without fused information from the RGB image. Crop water stress index (CWSI) was calculated, using three forms of minimum baseline temperature: empirical, theoretical and statistical. An empirical evaluation of maximum baseline temperature of Tair + 7 °C was used in all CWSI forms examined. Statistical tests and comparison of CWSI with biophysical measurements were performed to evaluate the responses to irrigation treatments. The results indicated a high correlation of CWSI with SC from tuber initiation to maturity based on ground and aerial data (0.64 ≤ R2 ≤ 0.99). Similar trends of increasing CWSI from well to deficit-irrigated treatments were found in all three growing seasons. The results also showed that CWSI may be calculated based merely on thermal imagery data. © 2014 Springer Science+Business Media New York.
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