An example of intelligent greenhousing synthesis based on modern digital systems, neuro-fuzzy technologies and IoT

Abstract

Abstract Challenges in development of new generation modern control systems based on discrete logic are reviewed in this article. System analysis of the current characteristic and properties of data processing systems is given: the problem of conversion accuracy and categorization of new criteria of new system effectiveness. The research experience of reviewed subject is summarized, a processing algorithm for greenhousing hardware control system with support for decision-making on monitoring the operation of sensors, taking into account the neuro-fuzzy technologies and graph theory, in the context of the algorithm theory and solving the problem of calculating the critical path for the quantifier of interaction with the subsequent processing in a neuro-fuzzy application in a quantitative ratio is given. There is description of generalizable algorithm for the constructed software control model with six sensors and a general assessment of the effectiveness of the traditional way for formal model of the greenhouse automated control system and the proposed way based on the balance model in the article.