Fuzzy-multiple models of formalization of soil resources in formation of system for controlling processes of feed production from grasses
2020
Popov, V., Institute for Engineering and Environmental Problems in Agricultural Production - IEEP, Tyarlevo, Pushkinsky distr., St. Petersburg (Russian Federation) | Spesivtsev, A., Russian Academy of Sciences, St. Petersburg (Russian Federation). St. Petersburg Inst. for Informatics and Automation | Sukhoparov, A., Institute for Engineering and Environmental Problems in Agricultural Production - IEEP, Tyarlevo, Pushkinsky distr., St. Petersburg (Russian Federation) | Spesivtsev, V., Institute for Engineering and Environmental Problems in Agricultural Production - IEEP, Tyarlevo, Pushkinsky distr., St. Petersburg (Russian Federation)
The technological process of grass feed production is considered as a complex system. From a mathematical point of view, all agricultural processes of the system are classified as difficult to formalize. Previous studies have shown that an effective model for controlling the technological process of grass feed production is a synthesis of a semantic object-oriented network, in the nodes of which mathematical models are located. This approach is natural, since it takes into account all the links in the technological chain, as well as imposed controlled (for example, agrotechnical periods) and uncontrolled (weather and climate) impacts on the system as a whole. In such business conditions, instead of the traditional deterministic modelling methods, the expert knowledge of highly qualified specialists is usually used. The method of constructing fuzzy-probabilistic models developed and confirmed in practice is increasingly used in agricultural production. This is due, first of all, to the fact that the modelling process on the basis of explicit and implicit expert knowledge does not require knowledge of special mathematical methods from workers. The whole process of building models is conducted in the professional language of experts. Moreover, the expert is used as an “intelligent measuring and diagnostic system”. The previously obtained metamodel as a model of the first stage of the hierarchy included five variables: soil resources, feed production, technological resource, material and technical base, weather and climate conditions. Only the technological resource was considered in detail, for which at the second level of the hierarchy a model was constructed according to six variables and then the variable “preservative application” is also represented by six variables of the third stage of the hierarchical model. This study presents fuzzy-possible models representing the branch of the semantic network in the variable “soil resources” of the original metamodel for controlling the entire technological chain of feed production. It is shown that the obtained models adequately represent the knowledge of experts on the tasks to be solved of a common problem − the construction of a control model for the technological process of the production of feed from herbs.
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