Full TGIF Record # 313716
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf
    Last checked: 09/02/2021
    Requires: PDF Reader
    Notes: Pending URL completion
Publication Type:
i
Report
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: 2020 Research Summaries. 2020, p. 100-102.
# of Pages:3
Publishing Information:[New York, New York]: The United States Golf Association Green Section
Language:English
References:0
See Also:Other Reports from this USGA research project: 2017-09-619
USGA Summary Points:A new remotely controlled ground-based turfgrass evaluation system was designed and fabricated. Preliminary field tests was conducted in a very limited way due to Covid-19 pandemic. An NDVI camera was added to the drone-based turfgrass evaluation system. The data acquisition control software for the ground-based turfgrass evaluation system was optimized to improve the efficiency of the system and the quality of the collected data. Algorithms for data preprocessing and data analysis to extract turfgrass quality indices were modified and optimized based on the 2019 data.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Wang, N., Y. Wu, Justin Moss, Charles Fontanier, Jack Fry, and Dale Bremer. 2020. Smart tools to improve and accelerate the turfgrass evaluation process. USGA Turfgrass Environ. Res. Summ. p. 100-102.
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Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf
    Last checked: 09/02/2021
    Requires: PDF Reader
    Notes: Pending URL completion
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MSU catalog number: b3609415
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