Information Technology for Comprehensive Monitoring and Control of the Microclimate in Industrial Greenhouses Based on Fuzzy Logic

Author:

Laktionov Ivan1ORCID,Vovna Oleksandr2ORCID,Kabanets Maryna3ORCID

Affiliation:

1. Department of Software of Computer Systems , Dnipro University of Technology , av. Dmytra Yavornytskoho, 19, Dnipro, UA49005 , Ukraine

2. Department of Electronic Engineering , SHEI ’Donetsk National Technical University’ of the Ministry of Education and Science of Ukraine , Sofii Kovalevskoi st., 29, Lutsk, UA43024 , Ukraine

3. Language Training Department , SHEI ’Donetsk National Technical University’ of the Ministry of Education and Science of Ukraine , Sofii Kovalevskoi st., 29, Lutsk, UA43024 , Ukraine

Abstract

Abstract Nowadays, applied computer-oriented and information digitalization technologies are developing very dynamically and are widely used in various industries. One of the highest priority sectors of the economy of Ukraine and other countries around the world, the needs of which require intensive implementation of high-performance information technologies, is agriculture. The purpose of the article is to synthesise scientific and practical provisions to improve the information technology of the comprehensive monitoring and control of microclimate in industrial greenhouses. The object of research is non-stationary processes of aggregation and transformation of measurement data on soil and climatic conditions of the greenhouse microclimate. The subject of research is methods and models of computer-oriented analysis of measurement data on the soil and climatic state of the greenhouse microclimate. The main scientific and practical effect of the article is the development of the theory of intelligent information technologies for monitoring and control of greenhouse microclimate through the development of methods and models of distributed aggregation and intellectualised transformation of measurement data based on fuzzy logic.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Hardware and Architecture,Modeling and Simulation,Information Systems

Reference28 articles.

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3. [3] American Society of Agricultural and Biological Engineers: ANSI/ASAE EP406.4 JAN2003 (R2008) Heating, Ventilating and Cooling Greenhouses. Available at: http://materialstandard.com/wp-content/uploads/2019/07/ANSI-ASABE-EP406-4-JAN2003-R2008.pdf [Accessed 15 May 2022].

4. [4] A. Kamilaris, A Review on the Application of Natural Computing in Environmental Informatics, In: 32nd EnviroInfo, Munchen, Germany, 2018, pp. 1–11. https://doi.org/10.48550/arXiv.1808.00260.

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