TY - CONF
T1 - Improving agricultural water efficiency with unmanned aircraft
AU - Woldt, Wayne
AU - Neale, Christopher
AU - Heeren, Derek
AU - Frew, Eric
AU - Meyer, George
N1 - Funding Information:
The goal of this research is to advance variable rate irrigation (VRI) technology across the Great Plains and Midwest through improved net water use efficiency of irrigated, row crop agriculture supported by unmanned aircraft systems (UAS) through remote sensing, integrated sensor systems, and adaptive modeling and simulation. The research will study the integration of technical systems and information technology to assist complex, variable rate irrigation decisions in ptcyal ilarge crop production areas and growing seasons.
Publisher Copyright:
© 2018 IQPC. All rights reserved.
PY - 2018
Y1 - 2018
N2 - This paper describes a recently funded USDA/NIFA research project to advance new crop irrigation technology, using unmanned aircraft to assist with crop management decisions. The project goal is to improve net water use efficiency for row crop agriculture. This research integrates the use of unmanned aircraft, new sensor systems, and information technology to assist growers with important crop information for emerging agricultural irrigation technologies, including highly-complex, variable rate irrigation (VRI) systems. The basic research challenge involves the synthesis and utilization of data and associated time domain information across spatially-variable crop production fields in the Midwest, multi-scale sensor networks, and an emphasis on the contribution of UAS remotely sensed data.
AB - This paper describes a recently funded USDA/NIFA research project to advance new crop irrigation technology, using unmanned aircraft to assist with crop management decisions. The project goal is to improve net water use efficiency for row crop agriculture. This research integrates the use of unmanned aircraft, new sensor systems, and information technology to assist growers with important crop information for emerging agricultural irrigation technologies, including highly-complex, variable rate irrigation (VRI) systems. The basic research challenge involves the synthesis and utilization of data and associated time domain information across spatially-variable crop production fields in the Midwest, multi-scale sensor networks, and an emphasis on the contribution of UAS remotely sensed data.
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M3 - Paper
AN - SCOPUS:85054631213
T2 - AUVSI XPONENTIAL 2018
Y2 - 1 May 2018 through 3 May 2018
ER -