Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber

In this paper, a fuzzy logic controller was design and develop to control the temperature, relative humidity and Carbon Dioxide (CO2) inside the prototype tomato growth chamber. The model was develop to automatically adjust the inside parameters to obtain the optimum tomato plant environment condition. The growth chamber fuzzy logic controller was modeled using the MATLAB fuzzy logic tool box. In this research we design a fuzzy logic controller (FLC) to control the environment parameters in the growth chamber. In order to provide the most suitable conditions for the growth of the tomato plant and might minimize energy consumption.

[1]  João Paulo Coelho,et al.  Fuzzy control of a water pump for an agricultural plant growth system , 2015, 2015 7th International Joint Conference on Computational Intelligence (IJCCI).

[2]  H. Kläring,et al.  Guidelines to use tomato in experiments with a controlled environment , 2014, Front. Plant Sci..

[3]  Elmer P. Dadios,et al.  Application of fuzzy logic in recognition of tomato fruit maturity in smart farming , 2016, 2016 IEEE Region 10 Conference (TENCON).

[4]  A. M. Kassim,et al.  Development of fuzzy logic water bath temperature controller using MATLAB , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

[5]  Harminder Kaur,et al.  Fuzzy Based Temperature Controller Using Membership Functions in Fuzzy Toolbox Using Matlab , 2015, 2015 Second International Conference on Advances in Computing and Communication Engineering.

[6]  Andrea Uribe,et al.  Intelligent control applied to controlled environment chamber , 2015, 2015 IEEE 2nd Colombian Conference on Automatic Control (CCAC).

[7]  M Azaza,et al.  Smart greenhouse fuzzy logic based control system enhanced with wireless data monitoring. , 2016, ISA transactions.

[8]  A. Mami,et al.  Fuzzy logic controller of temperature and humidity inside an agricultural greenhouse , 2016, 2016 7th International Renewable Energy Congress (IREC).

[9]  Anilesh Dey,et al.  Automation of boiler temperature and water level control using fuzzy logic , 2016, 2016 International Conference on Communication and Signal Processing (ICCSP).