Automation of vegetable production analysis in the Russian Federation using a modern information system

The presented study is aimed at solving the problems of information support for making effective management decisions in the field of vegetable growing in Russia based on the use of technologies and tools that automate complex algorithms of statistical analysis, which expands the range of users of up-to-date, reliable and complete information on the factors that shape the volumes and efficiency of production in the vegetable growing industries. The information system proposed by the authors, developed on the basis of the PyCharm2023.1 programming environment using the Python programming language, allows the user to obtain statistical characteristics of the phenomenon under study, apply methods of correlation and regression analysis, ANOVA to identify cause-and-effect relationships, modeling processes and phenomena in order to predict their development. The web application was developed taking into account officially published information on the conditions and results of vegetable production, and its operation has been tested. At the same time, the information system has the potential for development and can be adapted to any data set.