ЦИФРОВЫЕ ТЕХНОЛОГИИ УПРАВЛЕНИЯ БИОТЕХНОЛОГИЧЕСКИМИ ПРОЦЕССАМИ НА ОСНОВЕ КОГНИТИВНОГО МОДЕЛИРОВАНИЯ (НА ПРИМЕРЕ ЗАЩИТЫ НАСАЖДЕНИЙ ЯБЛОНИ ОТ ЯБЛОННОЙ ПЛОДОЖОРКИ)

Abstract

The necessity of developing digital technologies for managing biotechnological processes in long-term agrocenoses based on cognitive modeling is substantiated. Methodological approaches to the construction of effective management tools for biotechnological processes based on the logical concept of the triad (organization, management, efficiency) in a dynamic cycle have been developed. An algorithm for the formation of digital technologies for managing biotechnological processes is proposed, including: the formation of multifunctional databases and data banks and digital applications, cognitive modeling of system relationships and the formation of cognitive maps, the development of a system architecture of a prototype program, approbation and verification of the adequacy of a digital application. An algorithm has been developed for constructing cognitive models for the formation of management tools for biotechnological processes in long-term agrocenoses, including clarification of goal setting and local tasks; the distribution of functional relationships between the structural components of the agrocenosis using methods of correlation and regression analysis; economic and statistical characteristics of systemic relationships in reproductive processes by functional areas of influence using correlation matrices and discriminant analysis; verification of the results of optimization of parameters of functional stability and technological and economic efficiency of production and technological processes. A cognitive process management map is constructed using the example of protecting fruit plantations from pests. A flowchart of an algorithm for building a digital control program for biotechnological processes for protecting fruit plantations is proposed using the example of an apple moth, which provides for the development of a technology for importing data from a weather station to determine the sum of effective temperatures and determine the start of processing depending on the stage of development of the pest; neural network technologies for detecting a harmful object; a module for automated selection of a protection system. Key words: DIGITAL TECHNOLOGIES, MANAGEMENT, BIOTECHNOLOGICAL PROCESSES, PLANT PROTECTION, COGNITIVE MODELING, ALGORITHM, MODEL