Sensor-Based Automation of Irrigation on Bermudagrass during Dry Weather Conditions
Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 3
Abstract
Overirrigation of lawns with limited resources of potable water has increasingly become an issue for the state of Florida. A previous study showed that soil moisture sensors systems (SMSs) could lead to irrigation water savings during relatively wet/normal weather conditions. This research, as a follow-up comparison, was conducted under dry weather conditions. The first objective was to statistically evaluate the water savings potential of different commercially available SMSs during the first half of 2006. In the second half, the objectives were to quantify irrigation water use and to evaluate turfgrass quality differences among: (1) a time-based irrigation schedule system with and without a rain sensor; (2) time-based schedules compared to SMS-based systems; and (3) SMS-based systems under different irrigation frequencies. The experimental area was located in Gainesville, Fla. and consisted of common bermudagrass [Cynodon dactylon (L.) Pers.] plots. Four commercially available SMSs (brands Acclima, Rain Bird, Irrometer, and Water Watcher) were used to bypass scheduled irrigation cycles when the soil water content at the 7- to 10-cm depth was above field capacity. Time-based treatments with and without rain sensor feedback were set up as comparisons for irrigation depth applied, and a nonirrigated treatment for turf quality comparison purposes was implemented. Due to the dry weather conditions and/or infrequent rain events during the experiment, the nonirrigated plots (as well as a broken SMS treatment) resulted in turfgrass quality below the minimum acceptable level. The rest of the treatments had at least minimum acceptable turf quality. The treatment with rain sensor resulted in 13 to 24% less water applied than without the rain sensor treatment. Most SMS-based treatments resulted in significant irrigation water savings compared to the treatment without rain sensor, which ranged from 16 to 54% in the first half, and from 28 to 83% in the second half of 2006, for three of four SMS brands tested.
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Acknowledgments
The writers thank Engineer Larry Miller for his assistance and to numerous undergraduate and graduate students for their help on this project. This research was supported by the Pinellas-Anclote Basin Board of the Southwest Water Management District, the Florida Department of Agriculture and Consumer Services, the Florida Turfgrass Association, the Florida Nursery Growers and Landscape Association, and the Florida Agricultural Experiment Station. Mention of a trade name, proprietary product, or specific equipment does not constitute a guarantee or warranty by the University of Florida and does not imply approval of a product or exclusion of others that may be suitable.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 136 • Issue 3 • March 2010
Pages: 184 - 193
Copyright
© 2010 ASCE.
History
Received: Oct 6, 2008
Accepted: Aug 3, 2009
Published online: Feb 12, 2010
Published in print: Mar 2010
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