Abstract
It detected the canopy temperature of rice via automated infrared imaging technology in the test under different irrigation condition, taking the Idso empirical model to determine the lower bound equation of the canopy-air temperature differences, and so to get the best period of observing the rice water deficit by theCWSI, in addition the relationship of theCWSI, soil water content and transpiration rate were also analyzed. The preliminary test analysis showed that theCWSIcan reflect the rice water stress conditions well.
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