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Classification of areas associated with soybean yield and agrometeorological variables through fuzzy clustering Ciencia e Investigación Agraria
Coimbra de Araújo,Everton; Johann,Jerry A; Uribe-Opazo,Miguel A; Camargo,Eduardo C.G.
E.C. Araújo, J.A. Johann, M.A. Uribe-Opazo, and E.C.G. Camargo. 2013. Classification of areas associated with soybean yield and agrometeorological variables through fuzzy clustering. Cien. Inv. Agr. 40(3): 617-627. This study aimed to apply an approach based on fuzzy clustering for the classification of areas associated with soybean yield combined with the following agrometeorological variables: rainfall, average air temperature and average global solar radiation. The study was conducted with 48 municipalities in the western region of Paraná State, Brazil, with data from the crop-year 2007/2008. Through the fuzzy c-means algorithm, it was possible to form groups of municipalities that were similar in soybean yield using the Method of Decision by the Higher...
Tipo: Journal article Palavras-chave: Agrometeorological variables; Classification of areas; Fuzzy c-Means; Methods of decision; Similarity index; Soybean yield.
Ano: 2013 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202013000300014
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