Abstract
As the main hypothesis, it is suggested that the existing unevenness in the number of precision farming elements used in agriculture in the subjects of the Russian Federation is related to regional characteristics and specific features of the agricultural sector of the regional economy. The purpose of the study is to identify the geographical features of the regions that are most preferable for the use of precision farming technology in agricultural production. Mathematical modeling uses data from 20 subjects of the Russian Federation on the dynamics of the introduction and use of precision farming elements and the characteristics of these regions for 14 different indicators that can in one way or another affect the introduction of these technologies. Multiple correlation was obtained using 5 characteristics of regions (the correlation coefficient was r=0.89±0.1). At the same time, two indicators (the change in the level of registered unemployment and the amount of subsidies per 1 ha of agricultural land) were inversely dependent on the result of the introduction of precision farming elements. The selected indicators determined the intensity of introduction of precision farming elements in the regions by almost 80% (the coefficient of determination was D=0.798). The identification of these features and the construction of an appropriate model allows to predict the most preferred regions for the use of precision farming elements in agricultural production based on the generalization of existing experience.
Highlights
For the first time, precision farming elements that require GPS to determine the position to which any measured field parameter should be linked began to appear in the late 1980s in the United States and in Australia
It is suggested that the existing unevenness in the number of precision farming elements used in agriculture in the subjects of the Russian Federation is related to regional characteristics and specific features of the agricultural sector of the regional economy
The purpose of the study is to identify the geographical features of the regions that are most preferable for the use of precision farming technology in agricultural production
Summary
Precision farming elements that require GPS to determine the position to which any measured field parameter should be linked began to appear in the late 1980s in the United States and in Australia. According to his conclusions, specific characteristics of the soil condition can significantly expand the tools for production management. Specific characteristics of the soil condition can significantly expand the tools for production management These technologies can increase the efficiency of management procedures, increase the profitability of agricultural production and reduce the polluting impact on the environment. According to the conclusions of a number of foreign scientists (Pallottino, F; Biocca, M; Nardi, P; Figorilli, S; Menesatti, P; Costa, C), precision farming elements are a management concept that is based on observations, measurements, and responses to variability in crop cultivation [3]. A number of Russian scientists, primarily L.V. Berezin, L.O. Karpachevsky note that the elements of precision farming are tools for managing crop yields using the intra-field variability of the plant habitat [4]
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