Full TGIF Record # 225229
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Web URL(s):http://www.swss.ws/wp-content/uploads/docs/2005 Proceedings-SWSS.pdf#page=341
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i
Report
Author(s):Hutto, K. C.; Shaw, D. R.; Byrd, J. D. Jr.; Gray, C. J.; Bruce, L. M.
Author Affiliation:Mississippi State University, Mississippi State, MS
Title:Identification of unique spectral characteristics of common warm season turfgrass weeds
Section:New technologies
Other records with the "New technologies" Section
Meeting Info.:Charlotte, North Carolina: January 24-26, 2005
Source:Proceedings of the 58th Annual Meeting of the Southern Weed Science Society. Vol. 58, 2005, p. 261.
Publishing Information:Champaign, Illinois: Southern Weed Science Society
# of Pages:1
Keywords:TIC Keywords: Characteristics; Evaluations; Spectral analysis; Warm season turfgrasses; Weed identification
Abstract/Contents:"Hand-held hyperspectral reflectance data were collected in the summers of 2002, 2003 and 2004 to identify unique spectral characteristics of common turfgrass and weed species. The turfgrass species evaluated were: 'Tifway 419' bermudagrass [Cynodon dactylon (L.) Pers. x. C. transvaalensis Burtt-Davy], 'Meyer' zoysiagrass, (Zoysia japonica Steud.), 'Raleigh' St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] and common centipedegrass [Eremochloa ophiuroides (Munro) Hack]. 'Crenshaw' creeping bentgrass (Agrostis stolonifera L.) was also evaluated. The weed species evaluated were: dallisgrass (Paspalum dilatatum Poir.), southern crabgrass [Digitaria ciliaris (Retz.) Koel.], eclipta (Eclipta prostrate L.) and Virginia buttonweed (Diodia virginiana L.). Data were collected from greenhouse and field experiments. Reflectance data were subjected to stepwise discriminant analysis to identify specific spectral wavelengths that could be used to distinguish the individual species. An overall classification accuracy of 85% was achieved for all field species. Spectral bands that were consistent over the three data collection periods ranged from 378 to 1000 nm. Only centipedegrass, zoysiagrass and dallisgrass were classified 77% or lower. All other species were classified at least 80%. Turfgrass species were analyzed as a group, where an overall accuracy of 95% was achieved. All turfgrass species were correctly classified at least 87% with the exception of centipedegrass, which was classified correctly 77% of the time. Spectral bands used for this analysis ranged from 412 to 1000 nm. Weed species were analyzed as a group. An overall classification accuracy of 92% was achieved. All weed species were correctly classified at 88% with the exception of eclipta, which was classified correctly 75%. Spectral bands used for weed species identification ranged from 379 to 621 nm. An overall classification accuracy of 69% was achieved for the greenhouse species. Spectral bands used in this analysis ranged from 353 to 799 nm. Creeping bentgrass and Virginia buttonweed were classified best among greenhouse species (96 and 92%, respectively). All other species were classified correctly 67% or less. Turfgrass species in the greenhouse were classified correctly 74%. Creeping bentgrass was classified the highest at 96%, while all other species were classified correctly 75% or lower using wavelengths from 353 to 799 nm. Greenhouse weed species were classified correctly 84% with Virginia buttonweed and southern crabgrass being classified the best (95 and 90%, respectively). All other species were below 67%. The same wavelengths used for the turfgrass species analysis were selected by discriminant analysis to identify the weed species."
Language:English
References:0
Note:"The changing world of weed science"
This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hutto, K. C., D. R. Shaw, J. D. Jr. Byrd, C. J. Gray, and L. M. Bruce. 2005. Identification of unique spectral characteristics of common warm season turfgrass weeds. South. Weed Sci. Soc. Proc. 58:p. 261.
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http://www.swss.ws/wp-content/uploads/docs/2005 Proceedings-SWSS.pdf#page=341
    Last checked: 07/18/2013
    Requires: PDF Reader
    Notes: Item is within a single large file
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