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Liang, X
Zhou, Y
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Authors
Huang, L
Jin, H
He, Y
Liu, F
Zhou, Y
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
Topics
Food Security and Precision Agriculture
Engineering Technologies and Advances
Decision Support Systems
Type
Oral
Year
2014
2016
2018
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Filter results3 paper(s) found.

1. Application Of Hyperspectral Imaging For Rapid And Non-Invasive Quantification Of Quality Of Mulberry Fruit

This study investigated the potential of using hyperspectral imaging working in visible and short-wave near infrared region (380-1030 nm) for rapid and non-invasive determination of the total flavonoid in mulberry fruit. Mulberry fruit with its sweet flavor is widely used in jam, pies, tarts, wines, and liquor, and is a delicacy among humans and birds alike. The quality evaluation of mulberry is usually determined by chemical or sensory analysis. However these methods are not capable... L. Huang, H. Jin, Y. He, F. Liu, Y. Zhou

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