Full TGIF Record # 310830
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=89
    Last checked: 04/16/2020
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Publication Type:
Author(s):Wang, Ning; Wu, Yanqi; Moss, Justin; Fontanier, Charles; Fry, Jack; Bremer, Dale
Author Affiliation:Wang, Wu, Moss, and Fontanier: Oklahoma State University; Fry and Bremer: Kansas State University
Title:Smart tools to improve and accelerate the turfgrass evaluation process
Section:Integrated turfgrass management
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Ecophysiology: Grass testing
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Source:Turfgrass and Environmental Research Program: 2019 Research Summaries. 2019, p. 81-84.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:4
Keywords:TIC Keywords: Aerial photography; Breeding program; Choice of species; Efficiency; Field tests; Quality evaluation; Turf management; Unmanned aerial vehicle
See Also:Other Reports from this USGA research project: 2017-09-619
Pictures, color
USGA Summary Points:The developed ground-based turfgrass evaluation system was refined and optimized to accommodate field environment conditions. A few new hardware and software modules were added and tested. A drone-based turfgrass evaluation system with an RGB and a thermal camera was also tested primarily. A new drone platform has been developed from fall 2019. Turfgrass quality indices were modified based on the collected sensor data, data processing and interpretation results, and manual ground-truth measurements. Field tests were conducted using the developed systems in a turfgrass nursery (40 rows x 20 columns) at the OSU Agronomy Farm.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Wang, N., Y. Wu, J. Moss, C. Fontanier, J. Fry, and D. Bremer. 2019. Smart tools to improve and accelerate the turfgrass evaluation process. USGA Turfgrass Environ. Res. Summ. p. 81-84.
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    Last checked: 04/16/2020
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    Notes: Item is within a single large file
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MSU catalog number: b3609415
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