Web-based Automatic Monitoring & Scheduling Management of Highland Plantation on Low Ground

Authors

  • Zulhasnizam Hasan Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka.
  • Mumtazahiqa Mazlan Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka.
  • Ahmad Nizamuddin Muhammad Mustafa Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka.
  • Nursabillilah Mohd Ali Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka.
  • Abdul Samad Shibghatullah Faculty Information Technology and Communication, Universiti Teknikal Malaysia Melaka.

Keywords:

Horticulture, Humidity, Temperature, Raspberry, Web Based,

Abstract

This paper proposes an automatic monitoring and scheduling management system for growing highland plants on the low ground. It is hypothesized that the plantation of highland plants on low ground is possible if the basic necessities such as temperature, humidity, lighting and water are monitored and controlled to suit their needs. Basically, this automatic system uses temperature, humidity and light sensor to detect the temperature readings, percentage of relative humidity and light availability respectively. The obtained values are sent to Raspbery Pi and are used for controlling the environment parameters. The desired conditions for the plantation are that the temperature must be below 20 degrees Celsius, the relative humidity must be higher than 60% and the lighting must be sufficient. In case any of the conditions is not achievable, mist spray, peltier and UV light will take respective action to stabilize the condition back to the desired setting. Interestingly, this system allows users to monitor environmental humidity and temperature as well as current activities at the plantation through the website in real time. The results show the system is functioning well since fragile highland plants such as strawberry could survive in normal indoor low ground condition for a fortnight.

Downloads

Published

2018-02-19

How to Cite

Hasan, Z., Mazlan, M., Muhammad Mustafa, A. N., Mohd Ali, N., & Shibghatullah, A. S. (2018). Web-based Automatic Monitoring & Scheduling Management of Highland Plantation on Low Ground. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-9), 17–20. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3864

Most read articles by the same author(s)

1 2 > >>