A Fuzzy Decision Support System for irrigation and water conservation in agriculture |
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| Affiliation: | 1. Department of Information Engineering (DINFO), School of Engineering, University of Florence, Italy;2. ATI srl, Empoli, Italy;1. USDA-ARS, Northwest Irrigation and Soils Research Laboratory, 3793 N 3600 E, Kimberly, 83341-5076 ID, USA;2. USDA-ARS, Horticultural Crops Research Unit-worksite, 29603 University of Idaho Lane, Parma, 83660 ID, USA;1. Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, Australia;2. Department of Electrical and Electronics Engineering, The University of Melbourne, Parkville, Victoria, Australia;1. Rocky Mountain Research Station, US Forest Service, MT, USA;2. Pyrologix, LLC, Missoula, MT, USA;3. Rocky Mountain Region, US Forest Service, CO, USA |
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| Abstract: | Since agriculture is the major water consumer, web services have been developed to provide the farmers with considerate irrigation suggestions. This study improves an existing irrigation web service, based on the IRRINET model, by describing a protocol for the field implementation of a fully automated irrigation system. We demonstrate a Fuzzy Decision Support System to improve the irrigation, given the information on the crop and site characteristics. It combines a predictive model of soil moisture and an inference system computing the most appropriate irrigation action to keep this above a prescribed “safe” level. Three crops were used for testing the system: corn, kiwi, and potato. This Fuzzy Decision Support System (FDSS) favourably compared with an existing agricultural model and data-base (IRRINET). The sensitivity of the FDSS was tested with random rainfall and also in this extended case the water saving was confirmed. |
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| Keywords: | Decision support systems Irrigation management Climate changes Fuzzy inference systems Fuzzy modelling |
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