Full TGIF Record # 82133
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Web URL(s):http://elibrary.asabe.org/azdez.asp?JID=3&AID=8839&ConfID=t2002&v=45&i=3&T=2&redirType=
    Last checked: 10/13/2015
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Author(s):Fitz-Rodríguez, E.; Choi, C. Y.
Author Affiliation:Fitz-Rodriguez: ASAE Student Member, Research Assistant, Department of Agriculture and Biosystem Engineering, University of Arizona, Tucson, AZ Choi: ASAE Member Engineer, Associate Professor, Department of Agriculture and Biosystems Engineering, University of Arizona, Tucson, AZ
Title:Monitoring turfgrass quality using multispectral radiometry
Source:Transactions of the American Society of Agricultural Engineers. Vol. 45, No. 3, May/June 2002, p. 865-871.
# of Pages:7
Publishing Information:St. Joseph, MI
Keywords:TIC Keywords: Visual evaluation; Quality; Analytical methods; Multispectral analysis; Nitrogen fertilization; Mowing; Irrigation methods; Subsurface irrigation; Sprinkler irrigation; Cynodon dactylon; Indices; Remote sensing; Dry weight; Efficiency; Irrigation efficiency
Abstract/Contents:"High-quality turf demands high water and nutrient inputs, as well as intensive maintenance. Due to decreasing water availability and high maintenance costs, efficient methods of water and fertilizer delivery and identification of site-specific management areas are required. In the turf industry and turf research, visual assessment has been used as the standard to evaluate turf response to management practices and treatments. This method is subject to bias due to personal perceptions and visual preferences. In addition, the cause of stress cannot be readily determined by visual inspection. In this research, multispectral radiometry was used as an alternative method of rating visual quality. The seasonal vegetation trend was observed using visual assessment and vegetation indices, response to nitrogen application, effect of mowing practice, and response to irrigation methods (subsurface drip irrigation and sprinkler irrigation) of bermudagrass turf were investigated. Vegetation indices (NDVI, RVI, and SDI) correlated well with visual quality ratings (r2=0.73, r2=0.71, and r2=0.70, respectively; P=0.05). Mowing practice affected the spectral response in most wavelengths, increasing values between 3% and 4% in the visible and mid-infrared ranges. Wavelengths in the near-infrared range were not affected. In contrast, values for vegetation indices decreased as a result of mowing practices."
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Fitz-Rodríguez, E., and C. Y. Choi. 2002. Monitoring turfgrass quality using multispectral radiometry. Trans. Proc. Am. Soc. Agric. Eng. 45(3):p. 865-871.
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    Last checked: 10/13/2015
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