| Issue |
MATEC Web Conf.
Volume 215, 2018
The 2nd International Conference on Technology, Innovation, Society and Science-to-Business (ICTIS 2018)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 4 | |
| Section | Emerging Technologies and Applied Science | |
| DOI | https://doi.org/10.1051/matecconf/201821501007 | |
| Published online | 16 October 2018 | |
Design of Multicolour LED with Control and Monitoring System for Plant Growth
1
Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang UPM, Selangor. Malaysia.
2
Advanced Material Synthesis and Fabrication Laboratory (AMSF), Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang UPM, Selangor. Malaysia.
* Corresponding author: amziah@upm.edu.my
The aim of this work is to create an artificial environment LED based for plants where the goal is to control LED lighting and monitor plant growth. This will contribute on issue like food production. This work involves the use of a web development microcontroller kit, which will help to make online or IoT (Internet of Things) project and design easy. The microcontroller will come with an integrated Wi-Fi to collect and control variable parameter and also programming language to develop graphical user interface (GUI). It is expected that the plant growth environment can be monitored and controlled or set through cloud via Wi-Fi on the board. Multicolour light emitting diode (LED) lamps are used. This system will improve the performance of available plant growth area where it will become more flexible in term of providing artificial environment with a better supervision.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.