Spatial, Temporal, and Vertical Variability of Ambient Environmental Conditions in Chinese Solar Greenhouses during Winter

The monitoring and control of environmental conditions are crucial as they influence crop quality and yield in Chinese solar greenhouses (CSGs). The objectives of this study were to assess the spatial, temporal, and vertical variability of major environmental parameters in CSGs during winter and to provide greenhouse climate/microclimate characteristics in order to facilitate the monitoring and control of greenhouse environmental conditions. A wireless sensor network (WSN) was deployed in two CSGs: one with crops and one without. Sensors were placed at different locations inside and outside the greenhouses, and the air temperature, humidity, CO2 concentration, light intensity, solar radiation, and wind conditions were measured and analyzed. Significant variability in the spatial, temporal, and vertical distribution of environmental factors was observed in both greenhouses. The average minimum and maximum temperatures and humidity inside the CSG with crops were 9.96 & DEG;C (4:00 h) and 24.5 & DEG;C (12:00 h), and 32.6% (12:00 h) and 92.1% (5:00 h), respectively. The temperature difference was 2.2 & DEG;C between layers in the CSG without crops and 1.4 & DEG;C between layers in the CSG with crops. The CO2 concentration in the different layers inside the CSG with crops was highest at night. The average maximum light intensity inside the CSG with crops was 32,660.19 lx, 36,618.12 lx, and 40,660.48 lx (12:00 h to 13:00 h) in the bottom, middle, and top layers, respectively. Sensor positioning in the greenhouse was evaluated by considering the sensors' data variability. The findings of this study could aid in the development of a better monitoring and control system for CSG's microclimate during winter. More research is needed on greenhouse microclimate control systems based on this variability analysis, which could improve crop quality and yield in greenhouses.

Automated summary

This study aims to assess the spatial, temporal, and vertical variability of major environmental parameters in Chinese solar greenhouses during winter and provide greenhouse climate/microclimate characteristics for monitoring and controlling greenhouse environmental conditions. A wireless sensor network was deployed in two greenhouses to measure and analyze variables such as air temperature, humidity, CO2 concentration, light intensity, solar radiation, and wind conditions. The findings reveal significant variability in the spatial, temporal, and vertical distribution of environmental factors in both greenhouses.