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Management zones using fuzzy clustering based on spatial-temporal variability of soil and corn yield REA
Rodrigues,Marcos S.; Corá,José E..
Clustering soil and crop data can be used as a basis for the definition of management zones because the data are grouped into clusters based on the similar interaction of these variables. Therefore, the objective of this study was to identify management zones using fuzzy c-means clustering analysis based on the spatial and temporal variability of soil attributes and corn yield. The study site (18 by 250-m in size) was located in Jaboticabal, São Paulo/Brazil. Corn yield was measured in one hundred 4.5 by 10-m cells along four parallel transects (25 observations per transect) over five growing seasons between 2001 and 2010. Soil chemical and physical attributes were measured. SAS procedure MIXED was used to identify which variable(s) most influenced the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Management zone analyst; Precision agriculture; Soil pH; Tropical soils; Zea mays L..
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000300470
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