Information system for improving the process of managing the manufacture of organic products

Abstract

Climate change and increased anthropogenic impact on the environment, leading to environmental problems, pose a threat to all countries of the world and require the development of effective solutions in the field of organizing production processes, ensuring the use of resource-saving technologies, increasing production volumes through the use of progressive scientific achievements in the field of digitalization, ecology, chemistry, breeding, etc. As a result, the development of organic agriculture and an increase in its production volumes becomes relevant. The purpose of this paper is to develop a hybrid intelligent decision support system for assessing the effective production of organic crop production in regions, municipal districts, as well as on individual land plots, where data on natural and climatic characteristics, agrochemical soil analysis, monitoring of air parameters, etc. act as input parameters. Within the framework of the article, the authors focused on the consideration of the information, behavioral model and the model of the intellectual system components. Thanks to the implementation of these models of the system for improving the process of managing the manufacture of organic products, the user receives the most optimal proposed solutions on the issue of production, changing parameters and conditions characterizing the level of region development, climatic conditions, socio-economic situation, etc. at the entrance to the system.