Agricultura de precisão em área de pivô central de alto potencial produtivo

Abstract

The knowledge of the spatial variability of soil nutrients is of great importance in fertilization recommendations, allowing a better management of the resources of the agricultural environment, since these agricultural fields are heterogeneous and thus allowing interventions according to the variability and potential response of the field. In field with high productive potential, seeking to know and model this variability allows us to maximize the productive sector. The application of fertilizers and correctives at a variable rate has become one of the main tools of precision agriculture, however the need to analyze and observe the behavior of the data and the spatial variability given is fundamental to have good reliability in the estimates in the non-sampled locations, this is possible through geostatistical analysis and classical statistics. This work seeks to analyze the data and model the behavior of data variability spatially in an field of high productive potential, in the municipality of Piracanjuba in the state of Goiás-Brazil, in the year 2020. And so to carry out agronomic interventions in the most assertive way. The georeferencing sampling carried out in great regularity by point, each grid had a size of 200 x 100 meters, carried out according to the literature in a rigorous way in order to analyze the chemical attributes of the layer 0 - 20 cm of the soil. Chemical analyzes of the attributes pH CaCl2, calcium, magnesium, phosphorus, potassium, sulfur, cation exchange capacity at pH 7, base saturation and textural analyzes of clay, sand and silt, confirmed a high chemical fertility of the soil built levels of the attributes because they presented within the appropriate class the high for most besides presenting a high grids of spatial dependence, low to medium coefficient of variation, good adjustment of the models in relation to the data allowed reliable estimates as determined by the coefficient of determination and thus generated the maps of recommendation of corrective fertilization and maintenance in variable dose according to the variability of each study attribute.