A Simulation for Irrigated Sugarcane by using Fuzzy Logic Controller

Authors

  • tinnasit kaisinburasak Agricultural Engineering Research Institute, Department of Agriculture
  • Prasat Sangphanta Agricultural Engineering Research Institute, Department of Agriculture
  • Puttinun Jaruwat Agricultural Engineering Research Institute, Department of Agriculture
  • Mongkol Tunhaw Agricultural Engineering Research Institute, Department of Agriculture
  • Nirut Boonya Agricultural Engineering Research Institute, Department of Agriculture
  • Ratchada Pratcharoenwanich Nakhon Ratchasima Agricultural Research and Development center, Office of Agricultural and development Region 4
  • Anucha Chaochot Agricultural Engineering Research Institute, Department of Agriculture
  • Anusorn Tiensiriroek Agricultural Production Sciences Research and Development Office, Department of Agriculture
  • Kunthakorn Khaothong Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University
  • Manop Kuntamarus Agricultural Engineering Research Institute, Department of Agriculture

DOI:

https://doi.org/10.14456/thaidoa-agres.2023.8

Keywords:

Fuzzy Logic Controller, Sugarcane, Drip Irrigation System

Abstract

This research applied the fuzzy set theory on designing a fuzzy logic controller and simulation for drip irrigation system on using the MATLAB Simulink program as compared to a drip irrigation system for Khon Kaen 3 sugarcane cultivar in Nakhon Ratchasima Agricultural Research and Development Center. A fuzzy logic controller was designed by using soil moisture content and relative air humidity data which were inserted into that system by sets of trapezoidal form and a Mamdani and Assilian-type fuzzy inference mechanism in which the knowledge of an expert was registered through the fuzzy rules. The fuzzy system would then evaluated the necessary duration of irrigation. The experimental results showed that there was no significant difference in irrigation duration between simulation for drip irrigation system and irrigation system based on soil moisture content at Nakhon Ratchasima Agricultural Research and Development Center. The fuzzy logic controller was reliable and could fully meet the design goals and criteria.

References

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Published

2023-05-25

How to Cite

kaisinburasak, tinnasit, Sangphanta, P., Jaruwat, P., Tunhaw, M., Boonya, N., Pratcharoenwanich, R., Chaochot, A., Tiensiriroek, A., Khaothong, K., & Kuntamarus, M. . (2023). A Simulation for Irrigated Sugarcane by using Fuzzy Logic Controller . Thai Agricultural Research Journal, 41(1), 80–90. https://doi.org/10.14456/thaidoa-agres.2023.8

Issue

Vol. 41 No. 1 (2023): January - April

Section

Technical or research paper

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