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Program for the rational choice of highly cost-effective adaptive technology of grain cultivation for various conditions of the European part of the Russian Federation

2020; Faculty of Agronomy in Čačak; Volume: 18; Issue: 2 Linguagem: Inglês

10.5937/jaes18-26312

1821-3197

А. В. Гостев, Pykhtin Ivanovich, Semenova Liudmila,

Digitalization and Economic Development in Agriculture

Currently, a promising area of agricultural development in Russia and in the world is the development of software for digitalization of agriculture. Based on the analysis of regional scientific researches on the use of the most effective combinations of resource-saving agricultural techniques in grain cultivation technologies, a software application has been developed; it allows users to automatically generate individualized adaptive agricultural techniques for cultivating 12 crops for 8 regions of the European part of the Russian Federation, based on the entered values of key indicators of agricultural landscape. The work consistently addresses the issues of the need for digitalization of agriculture, describes the results of ongoing research on this topic, outlines the directions for further research on such developments, and, based on authors' research presents the stage-by-stage process of developing and testing application software. As a result of the research, a finished product was created and tested i.e. a computer program that solves not only the problem of increasing the efficiency of grain cultivation, but also ensuring the environmental orientation of the technologies due to the efficient use of fertilizers, fuel and chemical plant protection products, choice of the optimal variety or hybrid of crops, and used farming equipment, based on import substitution and calculation of the chosen agrotechnology cost-effectiveness, which is extremely important and relevant at present. The proposed software package consists of a client-server application for personal computers, a Web application, a mobile application for smartphones based on the Android operating system, two databases (for personal computers and for the online version of the application).