Abstract
By using precision agriculture as the basis for site-specific input applications, this study describes the development and implementation of a web-based computational tool for the spatial analysis of agricultural data and the creation of thematic maps. This tool, which is integrated into the R software environment, can create thematic maps using ordinary kriging and inverse distance weighting interpolation. In addition, the tool automatically selects the semivariogram parameters for geostatistical analyses and identifies the best-fitting model. To evaluate the software, statistical analyses of agricultural soil attributes and indices in two fields were performed to compare the maps generated by the developed tool and ArcMap. The results showed that most of the interpolations were similar across the maps. The developed tool is freely available online, simple, and reliable, and it allows users to provide information regarding spatial and temporal variabilities based on various attributes, thus contributing to more assertive decision making in agricultural management.
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