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Erik Lichtenberg, John Majsztrik, and Monica Saavoss

Improvements in sensor technology coupled with advances in knowledge about plant physiology have made it feasible to use real-time substrate volumetric water content sensors to accurately determine irrigation timing and application rates in soilless

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Stephanie E. Burnett and Marc W. van Iersel

to estimate Θ ( Decagon Devices, Inc., 2007 ). Sensor outputs are voltages, which are then converted to Θ using substrate-specific calibration equations. Nemali and van Iersel (2006) used similar probes to develop an automated irrigation system that

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Marc W. van Iersel, Matthew Chappell, and John D. Lea-Cox

. Sensor networks and water use models have been suggested as ways to improve irrigation efficiency and reduce water use in ornamental horticulture ( Lea-Cox, 2012 ; Million et al., 2010 ). Using sensors to collect quantitative information about crop water

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William D. Wheeler, Paul Thomas, Marc van Iersel, and Matthew Chappell

). Automated irrigation through precision soil moisture sensing has been shown to be an efficient means of regulating irrigation application ( Lea-Cox et al., 2013 ; Majsztrik et al., 2013 ). Although a number of different soil moisture sensors exist

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Bruk E. Belayneh, John D. Lea-Cox, and Erik Lichtenberg

the wireless sensor network on the farm ( Fig. 1 ). It provides growers with a range of irrigation control modes ( Kohanbash et al., 2013 ); this irrigation scheduling flexibility gives a grower the ability to precisely control how water gets applied

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John Majsztrik, Erik Lichtenberg, and Monica Saavoss

Automation can improve irrigation efficiency, but automation needs both hardware and software to do so. Many soil-moisture-sensor-based systems use hardware to measure and track substrate moisture levels and specialized software to display data

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John D. Lea-Cox, William L. Bauerle, Marc W. van Iersel, George F. Kantor, Taryn L. Bauerle, Erik Lichtenberg, Dennis M. King, and Lauren Crawford

irrigation systems, but also on easy-to-use decision tools that help the farmer monitor and automate irrigation scheduling. Why do horticultural crops require different irrigation strategies as compared with agronomic crops? Wireless sensor networks have been

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Scott Henderson, David Gholami, and Youbin Zheng

preference. In many commercial greenhouse operations, irrigation scheduling is typically based on the experience of the grower by “lifting and touching,” using qualitative, rather than quantitative, information such as using scientific sensors to monitor the

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Matthew Chappell, Sue K. Dove, Marc W. van Iersel, Paul A. Thomas, and John Ruter

calibration of sensors required to calculate an irrigation event to one, the capacitance-based soil moisture probe; 3) it uses on-farm data to determine soil moisture and therefore increases the precision and accuracy of environmental measurements compared

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David Kohanbash, George Kantor, Todd Martin, and Lauren Crawford

Wireless sensor networks ( Fig. 1 ) are an important tool for monitoring crops and controlling irrigation ( Angelopoulos et al., 2011 ; Bauerle et al., 2013 ; Coates et al., 2012 ; Lea-Cox, 2012 ). A common issue with today’s WSN systems is being