Designing an Automatic Dehumidifier System for Controlled Environments

Aksu S., Kızıl Ü., Çamoğlu G., Mucan U.

International Congress and Workshop on Agricultural Structures and Irrigation, Diyarbakır, Turkey, 12 - 15 May 2022, pp.181

  • Publication Type: Conference Paper / Summary Text
  • City: Diyarbakır
  • Country: Turkey
  • Page Numbers: pp.181
  • Çanakkale Onsekiz Mart University Affiliated: Yes


Water stress studies are basically based on the principle of controlled reduction of the applied amount. Although water stress studies applied in field conditions give results with sufficient accuracy, they may vary due to exposure of external factors. For this reason, conducting studies in a controlled environment influences increasing the reliability of the results. In a controlled environment, factors other than the amount of irrigation water (light intensity, exposure time, growing media, air temperature, relative humidity, wind, diseases, pests, etc.) should be equal. However, relative humidity, one of these factors, is often overlooked. There are units used to remove moisture from the controlled environment. However, these units are less preferable due to their high cost and maintenance requirement. Today, rapidly developing technology has led to the introduction of various microprocessor development units. Based on this, an automatic moisture removal system was developed for an existing controlled environment (Crop Stress Monitoring and Thermography Laboratory, ÇOMÜ Faculty of Agriculture, Çanakkale, Turkey). The system built on the Arduino UNO microprocessor unit can start and stop an aspirator fan with a diameter of 35 cm at the changeable humidity and temperature limit values, according to the DHT11 temperature humidity sensor data. The system, which includes laboratory-specific design and software, allows the limit values to be changed thanks to a touchscreen on it. In this way, the relative humidity and temperature limit values required for different growing media (sand, clay, silt, peat, perlite, etc.) and plants can be adjusted. The cost of the system with all its components is around $200, which shows that it can be easily integrated into existing growing environments.