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| Web URL(s): | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/151717
Last checked: 12/05/2023 |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Straw, Chase M.;
Floyd, Weston;
Sapkota, Madan |
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| Author Affiliation: | Sapkota: Presenting Author and Soil and Crop Sciences, Texas A&M University, College Station, TX; Straw: Presenting Author and Soil and Crop Sciences, Texas A&M University, College Station, TX; Floyd: Texas A&M University, College Station, TX Station, TX |
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| Title: | Relationship between a mower-mounted L-band radiometer and tow-behind capacitance sensor for mapping soil moisture variability on golf course fairways |
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| Section: | Golf turf management poster (includes student competition)
Other records with the "Golf turf management poster (includes student competition)" Section
C05 turfgrass science
Other records with the "C05 turfgrass science" Section
360
Other records with the "360" Section
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| Meeting Info.: | St. Louis, Missouri: October 29-November 1, 2023 |
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| Source: | ASA, CSSA, SSSA International Annual Meeting. 2023, p. 151717. |
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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: | "Precision irrigation aims to optimize water usage, but existing soil moisture sensor technologies have limitations in large-scale mapping. The 'turfRad' sensor collects georeferenced soil moisture data via microwave radiometry during routine mowing, alleviating many limitations. However, further research is needed to assess its suitability for turfgrass mapping and its relationship with traditional soil moisture sensors. Research was conducted May 30 and August 14, 2023, on five fairways at a golf course in Houston, TX. A turfRad was mounted to the rear of a mowing unit, which mowed each morning while simultaneously collecting % volumetric water content (VWC) data (5 cm depth). A Toro Precision Sense 6000 (PS), towed behind a utility vehicle, followed and measured VWC via a capacitance sensor (10.2 cm depth). Both sensors were equipped with GNSS receivers for georeferencing all data points. Data underwent ordinary kriging to create raster maps of VWC. The PS point data were used to extract values from locations within the turfRad raster maps. Spatial correlations were then determined for assessing the relationship between sensors (α=0.05). T-tests were conducted to determine differences in means between sensors (α=0.05). Spatial correlations were all positive and significant (p>0.001) and ranged from r=0.36 to 0.72. These relationships were reflected in the spatial maps, which generally exhibited similar VWC spatial variability. Mean VWC between sensors was significantly different on all fairways each date, except fairway 8 on August 14. The PS VWC mean was higher on all fairways on May 30, whereas the turfRad VWC mean was higher on all fairways on August 14. Results highlight turfRads potential for large-scale soil moisture mapping on golf course fairways, but further research should explore its applicability across different turfgrass species, mowing heights, soil conditions, temperatures, and soil moisture levels to better understand the effect of these factors on microwave radiometry." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
Poster |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Straw, C. M., W. Floyd, and M. Sapkota. 2023. Relationship between a mower-mounted L-band radiometer and tow-behind capacitance sensor for mapping soil moisture variability on golf course fairways. Agron. Abr. p. 151717. |
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| Web URL(s):
https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/151717
Last checked: 12/05/2023 |
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