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  • 1
    Electronic Resource
    Electronic Resource
    Assessment of seasonal dry-matter yield and quality of grass swards with imaging spectroscopy (2003)
    Oxford, UK : Blackwell Science Ltd
    Grass and forage science 58 (2003), S. 0 
    Details
    ISSN: 1365-2494
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: The potential of imaging spectroscopy for the assessment of seasonal dry-matter (DM) yield and sward quality was studied. Relationships between spatial heterogeneity of tiller density, light interception, ground cover and seasonal DM yield were developed. Sward heterogeneity was quantified by the spatial standard deviation of ground cover and of logarithmically transformed ground cover, and patterns in ground cover transects were quantified by wavelet entropy. An experiment was conducted with eight control (C) swards, eight naturally damaged (ND) swards and twelve artificially damaged (AD) swards. Swards were established in containers and spectroscopic images were recorded twice weekly.Seasonal DM yield was linearly related to a combination of means of ground cover and index of reflection intensity (r2 = 0·93). Spatial variation of tiller density was larger for AD and ND swards than for C swards. Values of the spatial standard deviation of ground cover and wavelet entropy were larger for AD and ND swards than for C swards. A single spatial standard deviation of ground cover value of 13% discriminated ND and AD swards from C swards. Seasonal means of wavelet entropy (r2 = 0·70) and the spatial standard deviation of ground cover (r2 = 0·63) at harvest were linearly related to seasonal DM yield. It is concluded that imaging spectroscopy can be used for assessing seasonal DM yield and sward heterogeneity.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-2494.2003.00391.x
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Monitoring grass swards using imaging spectroscopy (2003)
    Oxford, UK : Blackwell Science Ltd
    Grass and forage science 58 (2003), S. 0 
    Details
    ISSN: 1365-2494
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) 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 (〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/〉 = 0·94), LAI (〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/〉 = 0·88) and LI (〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/〉 = 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 〈inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/〉 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.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1046/j.1365-2494.2003.00379.x
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  • 3
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    Thermally Treated Grass Fibers as Colonizable Substrate for Beneficial Bacterial Inoculum (2008)
    Springer
    Details
    Publication Date: 2008-03-27
    Print ISSN: 0095-3628
    Electronic ISSN: 1432-184X
    Topics: Biology
    Published by Springer
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