Full TGIF Record # 92940
Item 1 of 1
DOI:10.1046/j.1365-2494.2003.00379.x
Web URL(s):http://onlinelibrary.wiley.com/doi/10.1046/j.1365-2494.2003.00379.x/full
    Last checked: 01/17/2014
    Access conditions: Item is within a limited-access website
http://onlinelibrary.wiley.com/doi/10.1046/j.1365-2494.2003.00379.x/pdf
    Last checked: 01/17/2014
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
Publication Type:
i
Refereed
Author(s):Schut, A. G. T.; Ketelaars, J. J. M. H.
Author Affiliation:Plant Research International, Wageningen, The Netherlands
Title:Monitoring grass swards using imaging spectroscopy
Source:Grass and Forage Science. Vol. 58, No. 3, September 2003, p. 276-286.
# of Pages:11
Publishing Information:Oxford, Blackwell Scientific Publications
Related Web URL:http://onlinelibrary.wiley.com/doi/10.1046/j.1365-2494.2003.00379.x/abstract
    Last checked: 01/17/2014
    Notes: Abstract only
Keywords:TIC Keywords: Spectroscopy; Lolium perenne; Biomass; Grassland management; Spectral analysis; Leaf area index; Injuries; Measurement; Mowing height; Ground cover; Yield response
Abstract/Contents:"The potential of an imaging spectroscopy system with high spatial (0.16-1.45mm2) and spectral resolution (5-13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (r2adj = 0.94), LAI (r2adj =0.88) and LI (r2adj = 0.95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with r2adj of between 0.75 and 0.82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha-1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards."
Language:English
References:20
Note:Figures
Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Schut, A. G. T., and J. J. M. H. Ketelaars. 2003. Monitoring grass swards using imaging spectroscopy. Grass Forage Sci. 58(3):p. 276-286.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=92940
If there are problems with this record, send us feedback about record 92940.
Choices for finding the above item:
DOI: 10.1046/j.1365-2494.2003.00379.x
Web URL(s):
http://onlinelibrary.wiley.com/doi/10.1046/j.1365-2494.2003.00379.x/full
    Last checked: 01/17/2014
    Access conditions: Item is within a limited-access website
http://onlinelibrary.wiley.com/doi/10.1046/j.1365-2494.2003.00379.x/pdf
    Last checked: 01/17/2014
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
Find Item @ MSU
MSU catalog number: SB 197 .B7
Find from within TIC:
   Digitally in TIC by record number.
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)