1,721,142 research outputs found

    Image Analysis tool for Vetch varieties identification by seeds inspection

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    Vicia saliva L. is an annual cleaning crop mainly used in rotation with durum wheat, both for seed production and for forage, either as a pure crop or as an undercrop, and is well adapted to the hot-dry climate and poor soils of Southern of Italy. Generally, cultivar identification is done on the basis of distinctive traits, such as shape, size, colour of the testa and ornamentations, identified during the variety registration, following official protocols. For some vetch varieties seed identification by specialized technicians is possible without difficulty, while for other varieties it is very difficult and sometimes impossible to achieve undoubted identification. Therefore, it is important, from both technical and economical points of view, to have a quick, reliable, repeatable, and non destructive method to be able to identify and classify seeds objectively. In order to promote computerised image analysis as a tool to aid visual inspection and replace human judgement in the discrimination of different seeds, this technique was applied to analyse and identify seeds of common vetch varieties. Seed size, shape and colour of nine Italian cultivars of common vetch (Vicia saliva L.) and one of hairy vetch (Vicia villosa Roth.) were measured using digital images acquired by a flatbed scanner and, on the basis of a Linear Discriminant Analysis algorithm, a statistical classifier able to identify the ten cultivars was implemented

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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