Aquaponic Ecosystem Monitoring with IOT Application

Authors

  • Muhammad Naufal Mansor Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Mohd Zamri Hasan Centre of Excellence for Intelligent Robotics & Autonomous Systems (CIRAS), Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia
  • Mohamed Mydin M. Abdul Kader Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Wan Azani Mustafa Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Syahrul Affandi Saidi Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Mohd Aminudin Jamlos Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Malaysia
  • Noor Anida Abu Talib Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

DOI:

https://doi.org/10.37934/araset.31.3.345357

Keywords:

Aquaponic, agriculture, IOT, monitoring

Abstract

Aquaculture is an agricultural technology that combines aquaculture (fish farming activities) with hydroponic activities (planting crops without soil media) in one circulation. The most important element in aquaculture is the existence of fish, plants, and bacteria. These three elements form a mutually beneficial relationship or symbiotic mutualism. The main purpose of the aquaculture system is to maintain water quality and reduce ammonia levels from the water so that it can be utilized by other organisms. In addition, aquaculture can also save space and can produce two types of human food simultaneously, plants and livestock. Agricultural technology design with Aquaculture also uses the concept of Internet of Things (IoT) as information from sensors and sensors of value generator is accessible through applications installed on smartphones from anywhere with an Internet connection. Development of monitoring of aquaponic ecosystems with IoT systems was developed using a program using micro-controls to control temperature, humidity, pH levels and water pumps. There are some improvements made to this project.

Author Biographies

Muhammad Naufal Mansor, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

naufal@unimap.edu.my

Mohd Zamri Hasan, Centre of Excellence for Intelligent Robotics & Autonomous Systems (CIRAS), Universiti Malaysia Perlis, Arau, 02600, Perlis, Malaysia

zamrihasan@unimap.edu.my

Mohamed Mydin M. Abdul Kader, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

mohamedm@unimap.edu.my

Wan Azani Mustafa, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

wanazani@unimap.edu.my

Syahrul Affandi Saidi, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

syahrulaffandi@unimap.edu.my

Mohd Aminudin Jamlos, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Malaysia

mohdaminudin@unimap.edu.my

Noor Anida Abu Talib, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

anidatalib@unimap.edu.my

Downloads

Published

2023-08-18

How to Cite

Muhammad Naufal Mansor, Mohd Zamri Hasan, Mohamed Mydin M. Abdul Kader, Wan Azani Mustafa, Syahrul Affandi Saidi, Mohd Aminudin Jamlos, & Noor Anida Abu Talib. (2023). Aquaponic Ecosystem Monitoring with IOT Application. Journal of Advanced Research in Applied Sciences and Engineering Technology, 31(3), 345–357. https://doi.org/10.37934/araset.31.3.345357

Issue

Section

Articles

Most read articles by the same author(s)

1 2 3 > >>