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Integrated Decision Support, Sensor Networks and Adaptive Control for Wireless Site-specific Sprinkler Irrigation

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  5th National Decennial Irrigation Conference Proceedings, 5-8 December 2010, Phoenix Convention Center, Phoenix, Arizona USA  IRR10-8492.(doi:10.13031/2013.35831)
Authors:   Robert G Evans, William M Iversen, Yunseop Kim
Keywords:   Decision support, adaptive control, sprinkler irrigation, wireless networks, sensors, automation, water management, measurement

The development of site-specific sprinkler irrigation water management systems will be a major factor in future efforts to improve the various efficiencies of water-use and to support a sustainable irrigated environment. The challenge is to develop fully integrated management systems with supporting elements that accurately and inexpensively sense within-field variability and then optimally control variable-rate water application systems in ways that account for the spatial variability affecting water use. Recent advances in sensor and wireless radio frequency (RF) technologies have enabled the development of distributed in-field sensor-based irrigation systems to support site-specific irrigation management. Thus, integration of a decision making process with a distributed wireless sensor network (WSN) and providing real time input to site-specific controls is a viable option. This presentation reviews research on the implementation of an in-field micrometeorological information that was fed from the distributed WSN and displayed on a geo-referenced field map in a computer base station. Low-cost Bluetooth wireless RF communications from both a distributed WSN and the machine controls monitoring of sprinkler status and GPS location were interfaced with a computer base station for processing by a decision support program, which updated the instructions to the variable rate irrigation controller for real-time site-specific control. The decision support was optimized to adapt changes of crop design, irrigation pattern, and field location for instructions for individual sprinkler heads on how much water to apply and where. A graphical user interface (GUI) with a simple click-and-play menu was used, which also allowed growers to remotely access field conditions and irrigation status at the home or office via the wireless RF communications

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