| Issue |
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|
|
|---|---|---|
| Article Number | 15002 | |
| Number of page(s) | 4 | |
| Section | Information Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201819715002 | |
| Published online | 12 September 2018 | |
The controlling and monitoring system in oyster mushroom cultivation using fuzzy logic through web technology integrated with Internet of Things
1
Universitas Kanjuruhan Malang, Informatics Study Program, Jl. S. Supriadi No.48 Malang East Java, Indonesia
2
Universitas Muhammadiyah Sidoarjo, Program Studi Teknik Mesin, Fakultas Teknik Mesin, Jalan Majapahit 666 B, Sidoarjo, Indonesia
* Corresponding author: m.priyono.ts@unikama.ac.id
Application of intelligent system technology can help human work, especially in this case to support oyster mushroom (Pleurotus ostreatus) cultivation. In mushroom treatment, it needs to water this mushroom periodically using clean water to keep the humidity and temperature suitable. Oyster mushroom can grow and develop with temperature in range 15 to 30 degree Celcius and relative humidity in range 80 to 90 percent's. Farmer's still water mushrooms manually depending on their feeling. The proposed system utilizes Fuzzy Logic to control temperature and humidity as parameter inputs by spraying waters in some duration as output in fuzzy logic. This system as well can monitor those parameters and send them to server computer periodically and do spraying from smartphone that is connected to this server by Internet of Things technology.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (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.