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| Web URL(s): | https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/133534
Last checked: 03/31/2022
Requires: JavaScript |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Kowalewski, Alexander R.;
Mattox, Clint;
McDonald, Brian W.;
Schmid, Charles J.;
Braithwaite, Emily;
Wang, Ruying;
Lambrinos, John;
Fitzpatrick, Greg;
Rivedal, Hannah |
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| Author Affiliation: | Kowalewski and Lambrinos: Horticulture, Oregon State University - Horticulture, Corvallis, OR; Mattox, McDonald, and Wang: Horticulture, Oregon State University, Corvallis, OR; Schmid: Plant Biology, Rutgers University, New Brunswick, NJ; Braithwaite: Oregon State University, Corvallis, OR; Fitzpatrick: Oregon State University, Philomath, OR; Rivedal: Forage Seed and Cereal, US Department of Agriculture ARS, Corvallis, OR |
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| Title: | A series of experiments exploring the accuracy of digital image analysis and point intercept when used in turfgrass research |
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| Section: | Turfgrass science oral II
Other records with the "Turfgrass science oral II" Section
C05 turfgrass science
Other records with the "C05 turfgrass science" Section
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| Meeting Info.: | Salt Lake City, Utah: November 7-10, 2021 |
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| Source: | ASA, CSSA and SSSA International Annual Meetings. 2021, p. 133534. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
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| # of Pages: | 1 |
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| Abstract/Contents: | "Digital image analysis and point intercept are two quantitative percent cover data collection methods used in turfgrass research. Theoretically, digital image analysis is more accurate because it is looking at individual pixels when determining percent green cover, while the point intercept method is a visual evaluation made every few cm. However, a weakness of digital image analysis is evaluating slight differences in green color. When digital image analysis is not able to quantify differences in color can the point intercept method be used in its place? Furthermore, can the point intercept method produce data with an accuracy comparable to digital image analysis. Considering this a series of experiments were conducted to evaluate the accuracy of the point intercept method, digital image analysis and visual ratings when utilized in turfgrass research. To explore this topic four separate experiments were conducted at the Lewis-Brown Horticulture Farm in Corvallis, OR. Design for each of these experiments was a randomized complete block with four replications and two experimental runs. The objective of the first experiment was to assess point intercept spacing (2.54, 5.08, 7.62 and 10.16 cm) on data accuracy when assessing a known, artificially produced percent cover (7.7%). The objective of the second experiment was to compare digital image analysis and point intercept count accuracy when assessing a known, artificially produced percent cover. The objective of the third experiment was to compare digital image analysis, intercept counts and visual rating when assessing dollar spot infections in a stand of creeping bentgrass before and after treatment with a green pigment. The fourth experiment compared digital image analysis, intercept counts and visual ratings when assessing a variety of issues (moss, brass button, anthracnose, and dollar spot) in a stand of annual bluegrass." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
"367-2" |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kowalewski, A. R., C. Mattox, B. W. McDonald, C. J. Schmid, E. Braithwaite, R. Wang, et al. 2021. A series of experiments exploring the accuracy of digital image analysis and point intercept when used in turfgrass research. Agron. Abr. p. 133534. |
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https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/133534
Last checked: 03/31/2022
Requires: JavaScript |
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