INFORMATION TECHNOLOGY FOR COMPREHENSIVE MONITORING AND CONTROL OF THE MICROCLIMATE IN INDUSTRIAL GREENHOUSES BASED ON FUZZY LOGIC

被引:10
|
作者
Laktionov, Ivan [1 ]
Vovna, Oleksandr [2 ]
Kabanets, Maryna [3 ]
机构
[1] Dnipro Univ Technol, Dept Software Comp Syst, Av Dmytra Yavornytskoho 19, UA-49005 Dnipro, Ukraine
[2] SHEI Donetsk Natl Tech Univ, Minist Educ & Sci Ukraine, Dept Elect Engn, Sofii Kovalevskoi St 29, UA-43024 Lutsk, Ukraine
[3] SHEIDonetsk Natl Tech Univ, Language Training Dept, Minist Educ & Sci Ukraine, Sofii Kovalevskoi St 29, UA-43024 Lutsk, Ukraine
关键词
monitoring; control; information technology; greenhouse; fuzzy logic; SYSTEM;
D O I
10.2478/jaiscr-2023-0002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:19 / 35
页数:17
相关论文
共 50 条
  • [1] Fuzzy Modeling Vapor Pressure Deficit to Monitoring Microclimate in Greenhouses
    Cesar Ramos-Fernandez, Julio
    Balmat, Jean-Francois
    Antonio Marquez-Vera, Marco
    Lafont, Frederic
    Pessel, Nathalie
    Steed Espinoza-Quesada, Eduardo
    IFAC PAPERSONLINE, 2016, 49 (16): : 371 - 374
  • [2] The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks
    Alpay, Ozlem
    Erdem, Ebubekir
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2019, 12 (01) : 190 - 203
  • [3] The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks
    Özlem Alpay
    Ebubekir Erdem
    International Journal of Computational Intelligence Systems, 2018, 12 : 190 - 203
  • [4] Information Resource Management Technology Based on Fuzzy Logic
    Vysotska, Victoria
    Berko, Andriy
    Lytvyn, Vasyl
    Kravets, Petro
    Dzyubyk, Lyudmyla
    Bardachov, Yuriy
    Vyshemyrska, Svitlana
    LECTURE NOTES IN COMPUTATIONAL INTELLIGENCE AND DECISION MAKING (ISDMCI 2020), 2020, 1246 : 164 - 182
  • [5] A Fuzzy Logic Based Green Information Technology Readiness Model
    Deng, Hepu
    Molla, Alemayehu
    Corbitt, Brian
    2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS, 2009, : 465 - 470
  • [6] Fuzzy logic control of an industrial robot
    Hitam, MS
    JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 257 - 262
  • [7] Microclimate control in greenhouses based on phytomonitoring data and Mollier phase diagram
    Schmidt, U
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SUSTAINABLE GREENHOUSE SYSTEMS, VOLS 1 AND 2, 2005, (691): : 125 - 132
  • [8] Fuzzy logic's impact on information technology
    Pryor, AN
    DECISION SCIENCES INSTITUTE 1998 PROCEEDINGS, VOLS 1-3, 1998, : 1756 - 1758
  • [9] Fuzzy Logic based control system and Artificial Intelligence in Industrial Automation
    Deepa, R.
    Rakshitha, Sri A. K.
    Krishnan, Gopala, V
    INTERNATIONAL CONFERENCE ON MECHATRONICS IN ENERGY AND ENVIRONMENT PROTECTION (ICMEEP 2020), 2020, 995
  • [10] Fuzzy Logic Based Multivariable Supervisory Control of a Complicated Industrial Process
    Han Laiji
    Xiang Bo
    Zhou Ping
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 7598 - 7602