Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: Paper number 131596776, 2013 Kansas City, Missouri, July 21 - July 24, 2013. (doi: 10.13031/aim.20131596776) @2014
Authors: Rajveer Dhillon, Francisco Rojo, Jedediah Roach, Robert Coates, Changjie Han, Shrini Upadhyaya, Michael Delwiche
Keywords: Leaf temperature, Crop water stress index, CWSI, Irrigation scheduling, Continuous measurement, Wireless mesh network, Stem water potential, Plant water status, Almonds, Walnuts, Nut crops
Abstract. Leaf temperature measurement using infra-red thermometry has been used to predict plant water stress empirically. However, to develop robust indices like crop water stress index (CWSI) usually it is recommended to measure canopy temperature of saturated (unstressed), stressed, and current plant water status of the tree under observation at the same time, which is not practical to obtain. This study proposes a novel method to develop a stress index by measuring leaf temperature continuously. An inexpensive, easy to use sensing system was developed to predict plant water status for tree crops by measuring leaf temperature and microclimatic variables in the vicinity of a leaf continuously. The system was installed on a tree to continuously monitor the leaf by logging leaf temperature, air temperature, relative humidity, wind speed and PAR (Photosynthetically Active Radiation). Data collected from preliminary field experiments was used to calculate crop water stress index (CWSI) which was independent of light and wind conditions. This sensing system shows great potential to be used as irrigation scheduling tool as it was able to provide daily CWSI value which follows similar pattern like of actual plant water stress index.
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