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Web URL(s): | https://www.dl.sciencesocieties.org/publications/cs/articles/42/2/648 Last checked: 05/05/2017 Access conditions: Item is within a limited-access website https://www.dl.sciencesocieties.org/publications/cs/pdfs/42/2/648 Last checked: 05/05/2017 Requires: PDF Reader Access conditions: Item is within a limited-access website |
Publication Type:
| Refereed |
Author(s): | Bell, G. E.;
Martin, D. L.;
Stone, M. L.;
Solie, J. B.;
Johnson, G. V. |
Author Affiliation: | Bell and Martin: Department of Horticulture and Landscape Architecture; Stone and Solie: Department of Biosystems and Agricultural Engineering; Johnson: Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK |
Title: | Turf area mapping using vehicle-mounted optical sensors |
Section: | Notes Other records with the "Notes" Section
|
Source: | Crop Science. Vol. 42, No. 2, March/April 2002, p. 648-651. |
Publishing Information: | Madison, WI: Crop Science Society of America |
# of Pages: | 4 |
Keywords: | TIC Keywords: Mapping; Optical analysis; Turfgrasses; Agrostis stolonifera; Golf greens; Golf courses
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Abstract/Contents: | "Environmental concerns require turf managers to minimize the amount of nutrients and pesticides used for turf maintenance. Vehicle-mounted optical sensing (VMOS) measures spectral reflectance from a turf canopy that can be converted to normalized difference vegetative indices (NDVI). Normalized difference vegetative index maps may provide opportunities for early detection of potential turf problems, economic savings for fertilizers and pesticides, and improvements in turf appearence and functional quality. The objective of this study was to evaluate the use of VMOS for mapping large turf areas. Sensor equipment was used to map a creeping bentgrass [Agrostis palustris Huds. = A. stolonifera var. palustris (Huds.) Farw.] putting green weekly for 8 wk. Normalized difference vegetative index maps constructed from VMOS measurements compared closely with turf response to N fertility and turf cover during grow-in. Sensor results were highly correlated (r2 = 0.98) with replicated plots fertilized with six different N rates. VMOS maps clearly indicated areas of poor nutrition, sparse turf cover, and some irrigation patterns." |
Language: | English |
References: | 24 |
Note: | Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Bell, G. E., D. L. Martin, M. L. Stone, J. B. Solie, and G. V. Johnson. 2002. Turf area mapping using vehicle-mounted optical sensors. Crop Sci. 42(2):p. 648-651. |
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| Web URL(s): https://www.dl.sciencesocieties.org/publications/cs/articles/42/2/648 Last checked: 05/05/2017 Access conditions: Item is within a limited-access website https://www.dl.sciencesocieties.org/publications/cs/pdfs/42/2/648 Last checked: 05/05/2017 Requires: PDF Reader Access conditions: Item is within a limited-access website |
| MSU catalog number: SB 183 .C7 |
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