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| Web URL(s): | http://elibrary.asabe.org/azdez.asp?JID=3&AID=17717&CID=aeaj2004&v=20&i=6&T=1&redirType=
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| Publication Type:
| Refereed |
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| Author(s): | Keskin, M.;
Dodd, R. B.;
Han, Y. J.;
Khalilian, A. |
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| Author Affiliation: | Keskin: Graduate Research Assistant; Dodd: Professor; Han: Professor; Khalilian: Professor, Department of Agricultural and Biological Engineering, Clemson University, Clemson, South Carolina |
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| Title: | Assessing nitrogen content of golf course turfgrass clippings using spectral reflectance |
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| Section: | Information & electrical technologies
Other records with the "Information & electrical technologies" Section
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| Source: | Applied Engineering in Agriculture. Vol. 20, No. 6, November 2004, p. 851-860. |
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| Publishing Information: | St. Joseph, MI: American Society of Agricultural Engineers |
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| # of Pages: | 10 |
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| Keywords: | TIC Keywords: Mowing; Golf greens; Spectral reflectance; Measurement; Clippings; Near-infrared reflectance spectroscopy; Nitrogen level
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| Abstract/Contents: | "Feasibility of a practical indoor reflectance-based sensor was studied to assess nitrogen content of turfgrass clippings from spectral reflectance data. Turfgrass clipping samples were obtained from commercial golf course putting greens, and their reflectance were measured using a dual-type spectroradiometer under artificial illumination 3 h and 51 h after mowing. The reflectance values in green band (520 to 580 nm) and the NIR band (770 to 1050 nm) increased as the nitrogen content increased. Four wavelength bands at 550, 680, 770, and 810 nm were selected to develop and compare several regression models with varying number of variables. All models performed well (R2 > 0.82) and predicted the nitrogen content with reasonable standard error of prediction (SEP) values (SEP < 0.62%) for the data taken 3 h after mowing. However, the data taken 51 h after mowing on the same samples did not yield good results (R 2 < 0.60; SEP > 1.04%). A discriminant analysis showed that the regression model with two wavelength variables performed as well as the models with a higher number of variables. A simple reflectance sensor using even only one photodiode and bandpass filter can be developed to predict or classify the nitrogen content of turfgrass clippings when the reflectance data are taken within several hours of mowing." |
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| Language: | English |
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| References: | 37 |
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| Note: | Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Keskin, M., R. B. Dodd, Y. J. Han, and A. Khalilian. 2004. Assessing nitrogen content of golf course turfgrass clippings using spectral reflectance. Appl. Eng. Agric. 20(6):p. 851-860. |
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| Web URL(s):
http://elibrary.asabe.org/azdez.asp?JID=3&AID=17717&CID=aeaj2004&v=20&i=6&T=1&redirType=
Last checked: 10/10/2013
Access conditions: Item is within a limited-access website
http://elibrary.asabe.org/azdez.asp?JID=3&AID=17717&ConfID=aeaj2004&v=20&i=6&T=2&redirType=
Last checked: 10/10/2013
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: S 671 .A66 |
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