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Two approach comparison to define crop management zones (MZs)

2016; Academic Journals; Volume: 11; Issue: 38 Linguagem: Inglês

10.5897/ajar2016.11453

1991-637X

Schenatto Kelyn, Godoy de Souza Eduardo, Cláudio Leones Bazzi, Nelson Miguel Betzek, Gavioli Alan,

Land Use and Ecosystem Services

The use of yield-level management zones (MZs) has demonstrated high potential for site-specific management of crop inputs in traditional row crops. Two approaches were use: all variables approach (all_Var) and stable variables approach (sta_Var). In each approach, variables selected had significant correlation with yield, while all redundant and non-autocorrelated variables were discarded. Two fields were use in this study: Field 1 (17.0 ha soybean field located in Cascavel, Paraná, Brazil); and Field 2 (35.0 ha corn field located in Wiggins, Colorado, US.). Two, three, four, and five MZs were created using fuzzy c-means clustering technique. The proposed methodology for define MZs is simple and allowed create good-quality MZs. It also founded that not-stable-over-time variables are not useful to define MZs. Key words: Precision agriculture, spatial variability, fuzzy clustering, autocorrelation, cross-correlation.