Resumen

PACCIORETTI, P.; CORDOBA, M.  y  BALZARINI, M.. Software development for spatial variability mapping in agriculture and environment. Agriscientia [online]. 2020, vol.37, n.1, pp.75-84.  Epub 01-Jun-2020. ISSN 1668-298X.  http://dx.doi.org/10.31047/1668.298x.v37.n1.27863.

Diverse agronomic and environmental data are collected with geographical position systems enabling the construction of maps that describe the variation of the studied properties over the space. Uni and multivariate spatial variability has been used to understand observation variation within crop fields and between sites in a large territory, allowing the delimitation of homogeneous areas at different scales. The use of spatial statistics methods, both regionally and on a small scale, demands specialized software programs. FastMapping is an interactive web application developed to process spatial data. It allows users to preprocess georeferenced data (clean, standardize and re-scale), it facilitates spatial interpolation and the generation of spatial variability maps quasi-automatically. This work compares the multivariate zoning of agricultural fields according to soil properties produced by FastMapping and that obtained from commercial software used for precision agriculture. FastMapping allows to import, clean, analyze and visualize spatial data, in a single environment, provide an easy-to-use framework for the effective implementation of spatial statistics methods.

Palabras clave : precision agriculture; spatial data; depuration; management zone.

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