A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops

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dc.contributor.author Zwiggelaar, Reyer
dc.date.accessioned 2008-03-04T17:05:33Z
dc.date.available 2008-03-04T17:05:33Z
dc.date.issued 1998
dc.identifier.citation Zwiggelaar , R 1998 , ' A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops ' Crop Protection , vol 17 , no. 3 , pp. 189-206 . , 10.1016/S0261-2194(98)00009-X en
dc.identifier.issn 0261-2194
dc.identifier.other PURE: 76026
dc.identifier.other dspace: 2160/530
dc.identifier.uri http://hdl.handle.net/2160/530
dc.identifier.uri http://www.ingentaconnect.com/content/els/02612194/1998/00000017/00000003/art00009 en
dc.description R. Zwiggelaar, 'A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops', Crop Protection 17 (3), 189-206 (1998) en
dc.description.abstract The use of spectral information for the discrimination of crops and weeds is reviewed, discussing research results covering most of this century. This includes discussions about the modelling of reflection from vegetation using optical and chemical information, indicating various problem areas (e.g. cell size, directional reflection, chemical composition). Models covered are those based on both the Kubelka-Munk theory and descriptive methods. This leads to a selection of spectral ranges, indices and ratios which might give useful information for vegetation discrimination ranging from individual plants to whole fields of crops. A range of experiments covering different spectral regions are reviewed and the usefulness of the resulting spectral information is discussed. en
dc.format.extent 18 en
dc.language.iso eng
dc.relation.ispartof Crop Protection en
dc.title A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/S0261-2194(98)00009-X
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Vision, Graphics and Visualisation Group en
dc.description.status Peer reviewed en


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