Proactive modeling of the dynamic complexity of agrotechnocenoses

The article summarizes the main approaches to solving the problem of proactive modeling of the dynamic complexity of agrotechnocenoses for the effective management of intra-system processes that anticipate the manifestation of negative trends, risks and adverse circumstances. Proactivity (forward-looking, proactive, and proactive) is based on the study of the changing limits of agrotechnocenosis in order to achieve the goals set, in particular, to justify and change its structure. Proactive management models (by observing, measuring, and analyzing) the expected negative actions, acts by reacting in the best way to these actions, and warns them. The prefix «pro» means striving forward, ahead of schedule, to lead. It is appropriate to combine such a method with the reactive control method for current, «momentary» events. To display systemic complexity, it is advisable to use various methods: formalized descriptions (topological, graph-analytical, logical, set-theoretic, linguistic), verbal (goal setting, expert assessments, tests, intuitive experience), special modeling (imitation dynamic, structural linguistic, situational). From the analysis of selectively examined examples of the development of research and applications of components of modern technolo-gical platforms, it follows that the strategy for implementing proactive management in agriculture should be carried out in three main directions: the development of sensory-search and executive-transformative functions of robots, group application of agricultural robots and aerobots, the foundation of a single digital control platform for a complex system of anthropogeo-agrotechnocenoses. The main models of proactive management are considered in the article: a model model for the formation of sensor-transformative functions of a person and a video robot, a model for group control of agricultural robots, a dynamic model for the transformation and replanning of the systemic complexity of agricultural technocenoses. Such discrete modular actions can characterize and interconnect the continuous process of self-organization of living bioobjects and their artificial technical organization in anthropogeoagrotechnocenoses. Predictive characteristics of the competitive advantages of using proactive management: improving working conditions, attracting young people to new labor conditions, reducing production costs and loss of production, increasing labor productivity by 2-3 times, improving the quality of products, reducing labor costs and energy resources for its production by 40-50%. The results of scientific research in this direction have a scientific visa, a high level of patentability and licensing capabilities, ensuring the socio-economic effect of the usage of products due to future commercialization.