Analysis of Multi-climate Controller Data in Tomato Greenhouses

Most farms in South Korea have not applied the best use of greenhouse controllers. The system is used at a basic level, which is only possible to turn on/off at the facility. Therefore, further data analysis is needed to improve greenhouse management and to develop the future value of the technology. This study tests a growth model of the greenhouse tomato by analyzing a set of data collected from a multi-climate control system. The growth model is used to examine the growth rate of tomatoes depending on the climate variables. The results show that the growth rate of the stem thickness and leaf area is affected by temperature, CO2 concentration and humidity. Since the variables fluctuate between control points, a nonlinear model would fit the data better than a linear one. The results could be posted up on a dash board or sent via a smartphone to the management decision maker.