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Three Years of On-Farm Evaluation of Dynamic Variable Rate Irrigation: What Have We Learned?
1V. Liakos, 1W. Porter, 2X. Liang, 1M. Tucker, 1A. McLendon, 3C. Perry, 1G. Vellidis
1. Department of Crop and Soil Sciences, University of Georgia, Tifton, GA, USA
2. Department of Plant, Soil and Entomological Sciences, University of Idaho, Aberdeen, ID, USA
3. Stripling Irrigation Park, University of Georgia, Camilla, GA, USA

This paper will present a dynamic Variable Rate Irrigation System developed by the University of Georgia. The system consists of the EZZone management zone delineation tool, the UGA Smart Sensor Array (UGA SSA) and an irrigation scheduling decision support tool. An experiment was conducted in 2015, 2016 and 2017 in two different peanut fields to evaluate the performance of using the UGA SSA to dynamically schedule Variable Rate Irrigation (VRI). For comparison reasons strips were designed within the fields. These strips were irrigated according to either UGA SSA or IrrigatorPro recommendations. The results showed that IrrigatorPro is very conservative irrigation method. On the other hand the UGA SSA recommendations worked very well with the VRI system and in all three years it suggested 45% less water (average) than the IrrigatorPro.

Keyword: Prescription, peanuts, water use efficiency, central pivot, decision support system
V. Liakos    W. Porter    X. Liang    M. Tucker    A. Mclendon    C. Perry    G. Vellidis    Decision Support Systems    Oral    2018
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