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| Web URL(s): | http://archive.lib.msu.edu/tic/ressum/2017/160.pdf
Last checked: 05/25/2018
Requires: PDF Reader |
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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: | ITM: Sustainable management: Grass testing
Other records with the "ITM: Sustainable management: Grass testing" Section
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| Source: | Turfgrass and Environmental Research Program: 2017 Research Summaries. 2017, p. 160-163. |
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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: Cultivar evaluation; Cynodon dactylon; Experimental design; GPS; Image analysis; Research equipment; Unmanned aerial vehicles; Visual evaluation
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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: | Pictures, color
Figures |
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| USGA Summary Points: | A ground-based, imaging system for turfgrass evaluation was developed which could be attached on an off-road vehicle, preferably an electric vehicle to implement field data collection. The results from the initial field implementation of the ground imaging system showed that the two selected cameras provided good data for most of the traits of interests. However, the green color shades were hard to differentiate from each other due to interferences from sunlight and shadows of surroundings. A better lighting and imaging system needs to be designed. The UAV-based system provided very good information on the color and size comparison among the samples in the experimental field. A thermal camera may be another add-on to evaluate the stresses. |
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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. 2017. Smart tools to improve and accelerate the turfgrass evaluation process. USGA Turfgrass Environ. Res. Summ. p. 160-163. |
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| Web URL(s):
http://archive.lib.msu.edu/tic/ressum/2017/160.pdf
Last checked: 05/25/2018
Requires: PDF Reader |
| 
MSU catalog number: b3609415 |
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