Fastlink to record 333539
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| Full TGIF Record # 333539 Item 1 of 1 |
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| Web URL(s): | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/152574 Last checked: 12/07/2023 |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Maleski, Jerome; Zhang, Jing; Vines, Phillip L.; Schwartz, Brian M. |
| Author Affiliation: | Maleski: Presenting Author and University of Georgia-Tifton, Tifton, GA; Zhang: Georgia, University of Georgia-Tifton, Tifton, GA; Vines and Schwartz: Department of Crop and Soil Sciences, University of Georgia, Tifton, GA |
| Title: | Computer vision for turfgrass quality assessment |
| Section: | Turfgrass science poster Other records with the "Turfgrass science poster" Section C05 turfgrass science Other records with the "C05 turfgrass science" Section 520 Other records with the "520" Section |
| Meeting Info.: | St. Louis, Missouri: October 29-November 1, 2023 |
| Source: | ASA, CSSA, SSSA International Annual Meeting. 2023, p. 152574. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
| # of Pages: | 1 |
| Abstract/Contents: | "Computer vision is used to rate turf quality and is compared to human ratings. This tool can be combined with drone imaging flights for high throughput turf selection and ratings." |
| Language: | English |
| References: | 0 |
| Note: | This item is an abstract only! |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Maleski, J., J. Zhang, P. L. Vines, and B. M. Schwartz. 2023. Computer vision for turfgrass quality assessment. Agron. Abr. p. 152574. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/333539 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/152574 Last checked: 12/07/2023 |
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