Please use this identifier to cite or link to this item: http://ir.library.ui.edu.ng/handle/123456789/1632
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dc.contributor.authorEwemoje, T. A.-
dc.contributor.authorRaji, A. O.-
dc.date.accessioned2018-10-09T14:10:18Z-
dc.date.available2018-10-09T14:10:18Z-
dc.date.issued2011-03-
dc.identifier.issn2307-1877-
dc.identifier.issn2307-1885-
dc.identifier.otherJournal of Engineering Research 16(1), pp. 42-52-
dc.identifier.otherui_art_ewemoje_evaluation_2011-
dc.identifier.urihttp://ir.library.ui.edu.ng/handle/123456789/1632-
dc.description.abstractLeaf Area Index (LAI) is a concept that cuts across agricultural sciences and agricultural engineering with an encapsulating feature in environmental engineering. It is one of the most difficult to quantify properly owing to large spatial and temporal variability. This paper discusses briefly LAI and the use of three methods which are non-destructive in determination of its value for cowpea, namely: the empirical formulae, the graphical and the image processing methods. Cowpea seeds were planted and samples were marked for determination of LAI by the three methods. The results showed that image processing as a more accurate and promising method compared to the other twoen_US
dc.language.isoen_USen_US
dc.publisherKuwait University, Faculty of Engineering and Petroleumen_US
dc.subjectLeaf Area 'Index,en_US
dc.subjectEmpirical Formula,en_US
dc.subjectGraphical,en_US
dc.subjectImage Processing,en_US
dc.subjectStatistical Analysisen_US
dc.titleEvaluation of three methods for estimating leaf area index of cowpea (Vigna unguiculata)en_US
dc.typeArticleen_US
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