Abstract
Dew condensation on the leaf surface of greenhouse crops can promote diseases caused by fungus and bacteria, affecting the growth of the crops. In this paper, we present a WSN (Wireless Sensor Network)-based automatic monitoring system to prevent dew condensation in a greenhouse environment. The system is composed of sensor nodes for collecting data, base nodes for processing collected data, relay nodes for driving devices for adjusting the environment inside greenhouse and an environment server for data storage and processing. Using the Barenbrug formula for calculating the dew point on the leaves, this system is realized to prevent dew condensation phenomena on the crop’s surface acting as an important element for prevention of diseases infections. We also constructed a physical model resembling the typical greenhouse in order to verify the performance of our system with regard to dew condensation control.
Highlights
Environmentally-friendly high-quality agriculture has been investigated in order to improve the farming practices in greenhouses
An automatic dew condensation control system combined with a WSN was realized, which utilizes the dew point condition to prevent the dew condensation phenomenon on the leaf surfaces of crops that is believed to be decisive in the outbreak of crop diseases
A model similar to an actual greenhouse environment was made to verify the performance of the system presented and the model was operated and monitored by applying the automatic dew condensation control system
Summary
Environmentally-friendly high-quality agriculture has been investigated in order to improve the farming practices in greenhouses. Kang et al developed an automatic greenhouse environment monitoring and control system. They studied the development of environmental monitoring sensor nodes and a monitoring system in greenhouses [7]. Pawloski et al proposed event-based systems on wireless sensor networks for climate control in the greenhouse [12]. Greenhouse environment monitoring and control is essential to improve productivity through prevention of diseases in the crops. The dew condensation phenomenon occurs in the greenhouse when the dew point temperature is higher than the temperature of crops, and it is deeply related to relative humidity. We propose a dew condensation prevention system that is able to forecast the conditions of dew condensation generation and remove the dewdrops based on ambient temperature and humidity data, as well as leaf temperature values
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