Designing a Conceptual Model of an Analytical System That Automates the Forecasting Process in Agriculture

The study of the subject area and the creation of a conceptual model are important steps in the development of any system, as they help to determine the requirements, functionality and structure of the system, as well as establish a common vision of the project before its implementation. Automation of agriculture requires the development of analytical systems to predict the growth of pest populations, which in turn involves the study of the subject area and the presentation of a conceptual model for the analytical system. The solution to this problem will help automate the work of scientists in the field of agriculture in calculating and predicting the growth of the number of pests of grain crops. The review of existing conceptual models in various fields of activity, especially in the agricultural sector, is carried out. System requirements have been put forward to ensure high efficiency and reliability of the system.