{"title":"Utilizing the Internet of Things technology to control oyster mushrooms","authors":"Pipop Maneejamnong, Natawut Payakkhin, Sancha Panpaeng","doi":"10.1109/ICSEC56337.2022.10049316","DOIUrl":null,"url":null,"abstract":"The objectives of this research were 1) Examine Internet of Things technologies for water spray and ventilation fan control in mushroom farms. 2) Develop tools and systems that enable users to monitor temperature, record it, and manage the amount of humidity in the House by adjusting humidity levels. These studies have selected NodeMCU ESP8266 and Arduino MEGA, AM2315, and KC-TH-280 modules for measuring digital temperature and humidity capture for load management of different electrical appliances. They utilized the application to switch on and off air humidity, drip irrigation, and water spraying automatically or manually to capture data acquired from a cloud system and demonstrate value to the Blynk System through mobile phones 3 meters wide, 6 meters long, and 3 meters high House. The investigation revealed that the sensor device readings measured and analyzed for on-off accuracy while the application was running were correct. There are 50 consecutive operations involving human control and automation. Through the application, the user controls the on/off state of the water pump and the operation of the ventilation fan. The water pump is active around 94% or 47 times. The quantity of pumps is disabled. The ventilation fan was turned off 49 times, or 98%, and the fan was turned off 48 times, or 96%, while testing the equipment’s functionality with the humidity and temperature settings. The mushroom house was heated to 30-35 degrees Celsius and humidified to a relative humidity of 65-75 percent. This technique was an effective tool for managing mushroom farm equipment.","PeriodicalId":430850,"journal":{"name":"2022 26th International Computer Science and Engineering Conference (ICSEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 26th International Computer Science and Engineering Conference (ICSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEC56337.2022.10049316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The objectives of this research were 1) Examine Internet of Things technologies for water spray and ventilation fan control in mushroom farms. 2) Develop tools and systems that enable users to monitor temperature, record it, and manage the amount of humidity in the House by adjusting humidity levels. These studies have selected NodeMCU ESP8266 and Arduino MEGA, AM2315, and KC-TH-280 modules for measuring digital temperature and humidity capture for load management of different electrical appliances. They utilized the application to switch on and off air humidity, drip irrigation, and water spraying automatically or manually to capture data acquired from a cloud system and demonstrate value to the Blynk System through mobile phones 3 meters wide, 6 meters long, and 3 meters high House. The investigation revealed that the sensor device readings measured and analyzed for on-off accuracy while the application was running were correct. There are 50 consecutive operations involving human control and automation. Through the application, the user controls the on/off state of the water pump and the operation of the ventilation fan. The water pump is active around 94% or 47 times. The quantity of pumps is disabled. The ventilation fan was turned off 49 times, or 98%, and the fan was turned off 48 times, or 96%, while testing the equipment’s functionality with the humidity and temperature settings. The mushroom house was heated to 30-35 degrees Celsius and humidified to a relative humidity of 65-75 percent. This technique was an effective tool for managing mushroom farm equipment.