Development of Observation System Using Internet of Things for Growth Improvement in Indoor Farming of Apium Graveolens Var. Secalinum Alef

Authors

  • Hafiz Mohd Khanil Department of Mechanical Engineering, College of Engineering (COE), Universiti Tenaga Nasional (UNITEN) Putrajaya Campus, 43000 Kajang, Selangor, Malaysia
  • Pooi Ying Choong Department of Mechanical Engineering, College of Engineering (COE), Universiti Tenaga Nasional (UNITEN) Putrajaya Campus, 43000 Kajang, Selangor, Malaysia
  • Yaw Long Chua Institute of Informatics & Computing in Energy, Universiti Tenaga Nasional (UNITEN) Putrajaya Campus, 43000 Kajang, Selangor, Malaysia
  • Yit Yan Koh School of Engineering, Newcastle Australia Institute of Higher Education, Singapore

DOI:

https://doi.org/10.37934/araset.32.2.360369

Keywords:

Hydroponics, Internet of Things (IoT), smart agriculture

Abstract

This research was performed to develop an Internet of Things (IoT) monitoring system for growth condition of Apium Graveolens var. Secalinum Alef, then to determine the optimised lighting environment to optimise growth of Apium Graveolens var. Secalinum Alef. The experiment was conducted for 42 days, and the plants were grown hydroponically. Various data required to monitor the plants closely was collected daily using the developed IoT system and the data was relayed to the researcher using IoT. Based on the data collected from the experiment it is determined that the plants grown using the LED lighting system yielded more harvest compared to the plants grown using normal sunlight. The significant of this research is an IoT system to continuously monitor plant growth condition using an internet connected mobile device was developed, allowing farmers to obtain real time data of the growth conditions on their mobile devices, and it was determined that Apium Graveolens var. Secalinum Alef cultivation under LED artificial lighting performed better as compared to normal sunlight. The application of this IoT system can help farmers to lower their overhead costs and increase yields.

Author Biographies

Hafiz Mohd Khanil, Department of Mechanical Engineering, College of Engineering (COE), Universiti Tenaga Nasional (UNITEN) Putrajaya Campus, 43000 Kajang, Selangor, Malaysia

me0106392@student.uniten.edu.my

Pooi Ying Choong, Department of Mechanical Engineering, College of Engineering (COE), Universiti Tenaga Nasional (UNITEN) Putrajaya Campus, 43000 Kajang, Selangor, Malaysia

choongpooiying@gmail.com

Yaw Long Chua, Institute of Informatics & Computing in Energy, Universiti Tenaga Nasional (UNITEN) Putrajaya Campus, 43000 Kajang, Selangor, Malaysia

Chuayl@uniten.edu.my

Yit Yan Koh, School of Engineering, Newcastle Australia Institute of Higher Education, Singapore

yityan.koh@newcastle.edu.au

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Published

2023-09-29

How to Cite

Hafiz Mohd Khanil, Pooi Ying Choong, Yaw Long Chua, & Yit Yan Koh. (2023). Development of Observation System Using Internet of Things for Growth Improvement in Indoor Farming of Apium Graveolens Var. Secalinum Alef. Journal of Advanced Research in Applied Sciences and Engineering Technology, 32(2), 360–369. https://doi.org/10.37934/araset.32.2.360369

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