Software of Rational Choice of Adaptive Technologies for the Cultivation of Grain Crops as an Element of Agriculture Digitalization

Abstract

Purpose of research. The goal of research is to develop a science-based decision support system for agricultural producers to choose adaptive technologies for growing crops in the European part of Russia.Methods. System approach, database design theory, mathematical modeling, software and information systems development theory, software qualimetry methods.Results. The paper consistently addresses the issues of the need to digitalize agriculture, describes the results of current research on this topic, identifies areas for further research of such developments, and describes the process of creating and testing application software in stages on the example of our own research. As a result of the conducted research, a finished product has been created and tested. It is a computer program that solves not only the problem of increasing the profitability of grain production, but also ensures the environmental orientation of the technologies used, which is extremely important and relevant at the present time. 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, and two databases (for personal computers and for the online version of the application).Conclusion. There has been created software that allows us to select the technology for cultivating the given grain crop, taking into account the prevailing soil and climatic conditions of a particular territory, and, thus,it can help to increase the profitability of grain production, ensure the environmental orientation of the applied technologies by effectively using mineral fertilizers, fuel and chemical plant protection productsand select the optimal variety or hybrid of grain crops. It can also help to choose agricultural machinery, taking into account the requirements of import substitution and preliminary calculation of the economic efficiency of the proposed agricultural technology.