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The Development of an Automatic Environment Control System in Greenhouses for Phoenix Oyster Mushrooms using the Internet of Things |
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| รหัสดีโอไอ | |
| Creator | Pensiri Phoriya |
| Title | The Development of an Automatic Environment Control System in Greenhouses for Phoenix Oyster Mushrooms using the Internet of Things |
| Contributor | Sirichai Chotisirimethanon, Piyarat Ngamsanit, Suda Thipprasert, Wirat Butwapee |
| Publisher | Faculty of Informatics, Mahasarakham University |
| Publication Year | 2569 |
| Journal Title | Journal of Applied Informatics and Technology |
| Journal Vol. | 8 |
| Journal No. | 1 |
| Page no. | 255103 |
| Keyword | Automatic Environment, Control System, Internet of Things (IoT), Phoenix Oyster Mushroom |
| URL Website | https://ph01.tci-thaijo.org/index.php/jait |
| Website title | Journal of Applied Informatics and Technology |
| ISSN | 3088-1803 |
| Abstract | Mushrooms are rich in protein, nutritional substances, and health-enhancing medicinal substances, making them a popular choice for con-sumption. This popularity has spurred a growing interest in mushroomcultivation. However, mushrooms thrive only within specific temperatureand humidity ranges. Deviations from these conditions can adversely af-fect their growth and overall production. Therefore, this research aimedto develop an automatic environmental control system in greenhouses forPhoenix oyster mushrooms using the Internet of Things and evaluatedthe system’s performance by experts while also assessing user satisfac-tion. The system is designed to control temperature and humidity tobe at the optimum level for mushroom growth. It sends alerts to usersif the temperature exceeds a specified threshold. The system utilizesNodeMCU to connect with temperature and humidity sensors and con-trols equipment such as water sprayers, ventilation fans, heat bulbs, andlights inside the greenhouse. Accessible via a web application, the sys-tem employs software development tools, including Arduino IDE, Firebasereal-time database, LINE Notify, and Google Sheets. Statistical analysisrelied on mean and standard deviation. The results showed that the sys-tem could effectively control greenhouse conditions to cultivate Phoenixoyster mushrooms through web applications and send LINE notifications.This may help reduce damage to Phoenix oyster mushroom cultivationthat could occur. Evaluation results from experts scored were at the high-est level, with an average of 4.79, while user satisfaction evaluations werealso at the highest level, with an average score of 4.80. |
