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| Full TGIF Record # 313716 Item 1 of 1 |
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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: | 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 Other records with the "Integrated turfgrass management" Section Ecophysiology: Grass testing Other records with the "Ecophysiology: Grass testing" Section |
| Source: | Turfgrass and Environmental Research Program: 2020 Research Summaries. 2020, p. 100-102. |
| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
| # of Pages: | 3 |
| Keywords: | TIC Keywords: Cultivar evaluation; Cynodon; Data processing; Field tests; GPS; Golf carts; National Turfgrass Evaluation Program; Normalized Difference Vegetation Index; Quality evaluation; Software evaluation; Unmanned aerial vehicle |
| 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. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/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 |
| MSU catalog number: | b3609415 |
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