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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=89
Last checked: 04/16/2020
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | Wang, Ning;
Wu, Yanqi;
Moss, Justin;
Fontanier, Charles;
Fry, Jack;
Bremer, Dale |
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| Author Affiliation: | Wang, Wu, Moss, and Fontanier: Oklahoma State University; Fry and Bremer: Kansas State University |
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| Title: | Smart tools to improve and accelerate the turfgrass evaluation process |
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| Section: | Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section
Ecophysiology: Grass testing
Other records with the "Ecophysiology: Grass testing" Section
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| Source: | Turfgrass and Environmental Research Program: 2019 Research Summaries. 2019, p. 81-84. |
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| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
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| # of Pages: | 4 |
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| Keywords: | TIC Keywords: Aerial photography; Breeding program; Choice of species; Efficiency; Field tests; Quality evaluation; Turf management; Unmanned aerial vehicle
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| Language: | English |
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| References: | 0 |
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| See Also: | Other Reports from this USGA research project: 2017-09-619 |
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| Note: | Flowchart
Screenshot
Pictures, color
Tables |
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| 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. |
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| 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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| Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=89
Last checked: 04/16/2020
Requires: PDF Reader
Notes: Item is within a single large file |
| 
MSU catalog number: b3609415 |
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