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| Web URL(s): | https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/142960
Last checked: 01/30/2023
Requires: JavaScript; HTML5 |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Askew, Shawn D. |
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| Author Affiliation: | Virginia Tech |
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| Title: | Techniques to improve data collection from visible and ultraviolet scientific photography |
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| Section: | Turfgrass science oral II
Other records with the "Turfgrass science oral II" Section
C05 turfgrass science
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| Meeting Info.: | Baltimore, Maryland: November 6-9, 2022 |
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| Source: | ASA, CSSA, SSSA International Annual Meeting. 2022, p. 142960. |
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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: | "When using photographs to produce scientific data, poor image quality results in experimental error. Problems associated with exposure, depth of field, shake or vibration, and subject isolation are the most common errors that curtail image quality. Controlling the scene by using midtone backgrounds instead of white or black or adjusting on-camera settings for exposure compensation will solve most exposure-related problems. Increased depth of field can be achieved by setting the camera to aperture mode and choosing a larger F ratio. For macro photography, focus stacking allows the photographer to take several images at different focus depths and merge them with software. Camera shake can be reduced by mounting the camera on a tripod, setting the mirror-lock function, and taking images with a wired or wireless remote. Where possible, scientific photographers should look for ways to isolate the subject. Backdrops of uniform color that are nonreflective are one approach and using a small F ratio and orienting the subject at distance from any background elements is another. Drone images, especially where plot cover is assessed, are dependent on the drone being centered over the field area. Disparities of horizontal distance from the drone to the plot will result in enlargement of some plots due to barrel distortion caused by wide-angle lenses. Orthomosaic images with at least 80% overlap will solve this problem. For large trials, photograph each block separately to reduce the distortion. Ultraviolet photography requires a special camera or replacement of the sensor hot mirror to eliminate UV-protective coatings. Lenses that have no UV-protective coatings are also required. A UV-bandpass filter must be installed either in place of the hot mirror or over the lens. Chromatic aberration will not allow the user to focus ultraviolet images through the lens. Instead, a digital screen with sensor live feed is required." |
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| Language: | English |
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| References: | 0 |
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| Note: | "309-4"
This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Askew, S. D. 2022. Techniques to improve data collection from visible and ultraviolet scientific photography. Agron. Abr. p. 142960. |
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| Web URL(s):
https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/142960
Last checked: 01/30/2023
Requires: JavaScript; HTML5 |
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