Analysis of Environments in Smart Greenhouses as Influenced by Cultivation Method of Cut Roses

Abstract

This study was conducted to collect data on the environmental factors in smart greenhouses, analyze the correlation between the factors, and provide basic data for smart farm environment management. Two smart greenhouses of cut roses were selected as a soil culture-type greenhouse OS located in Dalseong-gun, Daegu City, and a rock wool culture-type greenhouse KB located in Gimhae-si, Gyeongsangnam-do. Collected data were divided into six categories and analyzed after organizing: daily maximum, daily minimum, daily average, daytime average, nighttime average, and daily difference for air and media temperatures, and relative humidity. When comparing the optimal environmental conditions with those of the two greenhouses, the daytime temperatures were maintained at the optimal levels (24 - 27°C) for 5 months at greenhouse OS and for 7 months at greenhouse KB. The nighttime temperatures were m aintained at t he o ptimal l evels (15 - 18°C ) for 2 months at both greenhouses. The daily temperature difference was close to the optimal level (about 10°C) for 6 months at greenhouse OS and 9 months at greenhouse KB. The media temperatures were maintained at the optimal levels (20 - 25°C) in greenhouse OS for 10 months for 5 months in greenhouse KB. In relative humidity, both greenhouses were kept within the proper range throughout the year. As a result of analyzing the correlation between air and media temperatures, OS greenhouse showed a clear correlation in the maximum, average, daytime, and nighttime temperatures, and a weak correlation in the minimum and daily difference, while KB greenhouse showed a very strong linear proportional correlation in all areas. In other words, the temperature of soil with high buffering capacity was less affected by air temperature than soilless culture using rock wool.