ปัจจัยที่มีผลต่อค่ารังสีอาทิตย์ในช่วงความยาวคลื่นที่พืชใช้สังเคราะห์แสงในการปลูกพืชในโรงเรือน

Abstract

Nowadays, there are more smart farming. Because of smart farming can control production to produce the desired output. Moreover, it also helps to manage the production easier because smart farming can control environmental factors as desires and can be made to suit the needs of the produce. Smart farming has one of the factors that need to be controlled is the light factor. By reason of its lighting requires synthetic light from artificial incandescent lamps so we have to select lamps with the correct light value that is suitable for cultivation. There are many types of light values used in agriculture such as Light intensity luminous power and luminous intensity. But the most important value is Photosynthetic Active Radiation because it is a value can indicate that the light factor used indicates the ability of plants to photosynthesize themselves but Photosynthetic Active Radiation sensor is expensive and difficult to buy so this research focused to create a statistic model to analyze factors that suitable for Photosynthetic Active Radiation using techniques Linear regression analysis There are 3 variables which are 1. Temperature 2. Humidity 3. Light intensity. For Linear regression analysis results using a stepwise technique for selecting variables, the results are R2 equal to 96.92% and all three variables influenced to Photosynthetic Active Radiation (PAR). The most influential variables are the light intensity (LUX) value is Coefficient of 2.46, then the temperature with a coefficient of 1.41 and the last one is the humidity with a coefficient of -0.68 so this research can be applied as an alternative to selecting a replacement device for measuring Photosynthetic Active Radiation (PAR)