Smart Mushroom Cultivation House: Engineering Development and Data Analysis

Authors

  • Kukkong Kaewkorakot Chulalongkorn University
  • Chanon Traiwan Chulalongkorn University
  • Thitipat Weeplian Chulalongkorn University
  • Pimsiri Tiyayon Chulalongkorn University
  • Khemissara Thanatthirapich Chulalongkorn University
  • Wanwisa Pansak Mahidol University
  • Suwit Kiravittaya Chulalongkorn University

DOI:

https://doi.org/10.4186/ej.2024.28.4.11

Keywords:

mushroom cultivation house, smart farming, Internet of Things, time-series data analysis, humidity control

Abstract

This paper presents the engineering development of the smart mushroom cultivation house and the time-series analysis of the collected data. The cultivation house is located at the School of Agricultural Resources, Chulalongkorn University, Nan province and the experimental work has been done in June-July 2023. An automatic humidity control system, which consists of water pump, fog nozzles, water flow sensor, temperature-humidity sensor (AM2301), relay-push button board and LCD display, is developed. It is controlled by C/C++ program stored in the microcontroller board (NodeMCU ESP8266 V3). The system is specifically designed for smart mushroom cultivation. The NETPIE 2020 platform is adopted for data collection, real-time monitoring, and parameter adjustment via the web application. Temperature, humidity, pump state, and water flow volume are monitored and recorded. After this development, Japanese cone mushrooms and oyster mushrooms have successfully developed fruiting body in this cultivation house. Time-series analysis of the recorded data shows that the developed system has advantages in terms of labor, water and electrical power consumption as compared with the typical method for growing mushrooms in a cultivation house.

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Author Biographies

Kukkong Kaewkorakot

Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Chanon Traiwan

Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

School of Agricultural Resources, Chulalongkorn University, Bangkok 10330, Thailand

Thitipat Weeplian

School of Agricultural Resources, Chulalongkorn University, Bangkok 10330, Thailand

Pimsiri Tiyayon

School of Agricultural Resources, Chulalongkorn University, Bangkok 10330, Thailand

Khemissara Thanatthirapich

School of Agricultural Resources, Chulalongkorn University, Bangkok 10330, Thailand

Wanwisa Pansak

Faculty of Environment and Resource Studies, Mahidol University, Nakhon Pathom 73170, Thailand

Suwit Kiravittaya

Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

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Published In
Vol 28 No 4, Apr 30, 2024
How to Cite
[1]
K. Kaewkorakot, “Smart Mushroom Cultivation House: Engineering Development and Data Analysis”, Eng. J., vol. 28, no. 4, pp. 11-20, Apr. 2024.