Fuzzy method design for IoT-based mushroom greenhouse controlling

Angga, Prasetyo and Moh.Bhanu, Setyawan and Yovi, Litanianda and Sugianti, Sugianti and Fauzan, Masykur (2022) Fuzzy method design for IoT-based mushroom greenhouse controlling. Intensif : Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 6 (1): 7. pp. 81-91. ISSN 2549-6824 (Online) 2580-409X (Print)

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Abstract

The ideal conditions for the oyster mushrooms growth are at a humidity of 65-75% and 29-31C during incubation, while the growth of stems should be at a humidity of 70-90% 29-32C. This
ideal ecosystem is maintained by aeration and manual watering. Still, the results are not optimal in preventing damage to the mycelium during the incubation period, resulting in a decrease in crop yields. Automatic control has not created ideal conditions because air temperature and humidity regulation are only based on fans and sprayers that do not directly affect air conditions. Therefore, we need a method to manipulate the mushroom greenhouse space ecosystem, namely fuzzy logic, the application of fuzzy logic integrated with sensors, actuators, and microcontrollers with the Internet of Things to solve this problem. The results of the installation of fuzzy logic in the mushroom's greenhouse in this system can be seen from the fan's modulation response and the pump's duration. The test results of this control feature can manipulate temperature and humidity. Therefore, the oyster mushroom greenhouse produces an ideal state of 29.8C, the humidity of 68.97% RH, and the production has been proven to be optimal with anaverage daily harvest of 3.8kg

Item Type: Article
Uncontrolled Keywords: Fuzzy, Mushroom, Internet of Things
Subjects: Computers, Control & Information Theory > Applications Software
Social and Political Sciences
Social and Political Sciences > Education, Law, & Humanities
Depositing User: - Dina -
Date Deposited: 10 Jul 2023 08:28
Last Modified: 10 Jul 2023 08:28
URI: https://karya.brin.go.id/id/eprint/19114

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