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Liakos, V
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Authors
Vellidis, G
Lowrance, C
Fountas, S
Liakos, V
Vellidis, G
Liakos, V
Porter, W
Liang, X
Tucker, M.A
Liakos, V
Porter, W
Liang, X
Tucker, M
McLendon, A
Perry, C
Vellidis, G
Liakos, V
Vellidis, G
Lacerda, L
Porter, W
Tucker, M
Cox, C
Topics
Decision Support Systems in Precision Agriculture
Engineering Technologies and Advances
Decision Support Systems
Drainage Optimization and Variable Rate Irrigation
Type
Oral
Year
2016
2018
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Filter results4 paper(s) found.

1. EZZone - An Online Tool for Delineating Management Zones

Management zones are a pillar of Precision Agriculture research.  Spatial variability is apparent in all fields, and assessing this variability through measurement devices can lead to better management decisions.  The use of Geographic Information Systems for agricultural management is common, especially with management zones.  Although many algorithms have been produced in research settings, no online software for management zone delineation exists.  This research used a common... G. Vellidis, C. Lowrance, S. Fountas, V. Liakos

2. A Dynamic Variable Rate Irrigation Control System

Currently variable rate irrigation (VRI) prescription maps used to apply water differentially to irrigation management zones (IMZs) are static.  They are developed once and used thereafter and thus do not respond to environmental variables which affect soil moisture conditions.  Our approach for creating dynamic prescription maps is to use soil moisture sensors to estimate the amount of irrigation water needed to return each IMZ to an ideal soil moisture condition.  The UGA Smart... G. Vellidis, V. Liakos, W. Porter, X. Liang, M.A. Tucker

3. Three Years of On-Farm Evaluation of Dynamic Variable Rate Irrigation: What Have We Learned?

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... V. Liakos, W. Porter, X. Liang, M. Tucker, A. Mclendon, C. Perry, G. Vellidis

4. Management Zone Delineation for Irrigation Based on Sentinel-2 Satellite Images and Field Properties

This paper presents a case study of the first application of the dynamic Variable Rate Irrigation (VRI) System developed by the University of Georgia to cotton. The system consists of the EZZone management zone software, the University of Georgia Smart Sensor Array (UGA SSA) and an irrigation scheduling decision support tool. An experiment was conducted in 2017 in a cotton field to evaluate the performance of the system in cotton. The field was divided into four parallel strips. All four strips... V. Liakos, G. Vellidis, L. Lacerda, W. Porter, M. Tucker, C. Cox