Implementation of Monitoring and Prediction of Humidity, Temperature, and Light using the Generalized Additive Model for Green House Orchids in Lembang

Orchid plants are highly prized among plant enthusiasts for their stunning and diverse flowers, boasting exceptional aesthetic value. To ensure optimal growth, greenhouses serve as invaluable protective structures, offering precise control over crucial environmental factors such as light, air temperature, and humidity. Employing a well-designed and automated greenhouse system, Generalized Additive Model (GAM) emerges as a reliable forecasting tool due to its adeptness in recognizing historical data patterns and accurately predicting outcomes. The widespread application of GAM in scientific studies in recent years is a testament to its statistical and mathematical prowess, offering unparalleled accuracy and flexibility. Particularly, in monitoring and predicting humidity, temperature, and light for orchid plants within the greenhouse, GAM proves its worth by accommodating nonlinear effects and achieving impressive results, with a notable MSE accuracy of 4.6561 for predicted Humidity and 1.3668 for predicted Temperature.