Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)

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Fuzzy Logic Based Nutrient Concentration Control System Using the Internet of Things

Authors
Nurmahaludin Nurmahaludin1, *, Gunawan Rudi Cahyono2
1Dept. of Electrical Engineering, Politeknik Negeri Banjarmasin, Banjarmasin, Indonesia
2Dept. of Electrical Engineering, Lambung Mangkurat University, Banjarmasin, Indonesia
*Corresponding author. Email: mahaludin@poliban.ac.id
Corresponding Author
Nurmahaludin Nurmahaludin
Available Online 17 February 2024.
DOI
10.2991/978-94-6463-364-1_67How to use a DOI?
Keywords
nutrient concentration control; fuzzy; internet of things
Abstract

Hydroponic plant cultivation was developed as a solution to limited land, especially in urban areas. The most important thing in hydroponic cultivation is water and nutrients, where each type of plant requires a different concentration of nutrients. Plants that are given a nutrient solution that is too concentrated or too dilute will not grow optimally, so the nutrient concentration needs to be maintained and regulated so that it remains within a predetermined value. In this research, the control system was built using the internet of things (IoT) where set point values and nutrient concentrations can be monitored via a web server. The system uses a control algorithm based on fuzzy logic with error and delta error as input. The control output is the opening of the nutrient tap and water tap which is driven by a servo motor. The variables observed are the error rate produced at steady state, settling time, and also the maximum spike. The test results show that at a set point of 700 ppm, the system reaches a settling time of 2% at the 260th second. The average error rate when the system reaches steady state is 3.42. The maximum spike produced was 0.75% where the density value at that time was 705.28.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
Series
Advances in Engineering Research
Publication Date
17 February 2024
ISBN
10.2991/978-94-6463-364-1_67
ISSN
2352-5401
DOI
10.2991/978-94-6463-364-1_67How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nurmahaludin Nurmahaludin
AU  - Gunawan Rudi Cahyono
PY  - 2024
DA  - 2024/02/17
TI  - Fuzzy Logic Based Nutrient Concentration Control System Using the Internet of Things
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 729
EP  - 742
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_67
DO  - 10.2991/978-94-6463-364-1_67
ID  - Nurmahaludin2024
ER  -