skip to main content
10.1145/1839379.1839413acmotherconferencesArticle/Chapter ViewAbstractPublication PagescompsystechConference Proceedingsconference-collections
research-article

Application of fuzzy control approach in greenhouse automation

Published: 17 June 2010 Publication History

Abstract

The aim of the study is to design a Fuzzy Expert System (FES) which manupulates with more parameters, than the traditional systems. Temperature, air humidity, light intensity, soil moisture, wind speed and the amount of carbon dioxide were taken as the input parameters of the Fuzzy Control System whereas heating, cooling, shading, irrigation, lighting and ventilation values were taken as output parameters. By using the MNO_V1-2010 software developed with Delphi 7.0 in greenhouse automations which provides saving energy and time and more production, the simulation of the greenhouse automation with fuzzy control was carried out.
The values of the input variables can either be entered by the user or can be received in real time through a data collection card. It can be seen that the performance indicators that were obtained from the simulation results were successful. One of the advantages of the design is that the system minimizes human related errors and the design makes the system perform the decision making process in a full automatic manner. It is considered that the approach can also be implemented in various areas of the industry.

References

[1]
Caponetto R., Fortuna L., Nunnari G., Occhipinti L. I., "A Fuzzy Approach to Greenhouse Climate Control", American Control Conference, Proceedings of the 1998, Vol.: 3, pp.: 1866--1870, vol. 3, 1998.
[2]
Putter E., Gouws J. "An Automatic Controller for a Greenhouse Using a Supervisory Expert System", Proceedings of the 8th Mediterranean Electrotechnical Conference, MELECON'96, Vol.:2, pp.: 1160--1163, 1996.
[3]
Quanxing Z., Chwan-Hwa W., Tilt K. "Application of Fuzzy Logic in an Irrigation Control System", Industrial Technology, 1996 (ICIT '96), Proceedings of the IEEE International Conference, pp.: 593--597, 1996.
[4]
Durmaz N., "Seralarda havalandirma kapaklarinin kademeli ve otomatik olarak açilip kapatimasi üzerine bir çalişma", Akdeniz University, Magister Degree Thezis, 1994, Antalya.
[5]
Allahverdi N. "Expert Systems An Application of Artificial Intelligence", Atlas Press, Istanbul, 2002, 248 p.
[6]
Ödük, M. N. "Greenhouse Automation by Fuzzy Control Method", Selçuk University, Magister Degree Thezis, Jan. 2010, Konya, 119 p.
[7]
Ödük M. N., Allahverdi N., 2009, "A Study on Developing Greenhouse Automation by Fuzzy Control Method", Word Academy of Science Engineering and Technology (WASET), Vol.: S 7, Sept. 2009, pp.: 599--603, Amsterdam, Netherlands.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
CompSysTech '10: Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
June 2010
575 pages
ISBN:9781450302432
DOI:10.1145/1839379
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2010

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. fuzzy control
  2. fuzzy expert systems
  3. greenhouse automation

Qualifiers

  • Research-article

Conference

CompSysTech '10

Acceptance Rates

Overall Acceptance Rate 241 of 492 submissions, 49%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 378
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media

  NODES
Association 2
INTERN 12
Note 1