A Review of Smart Polyhouse Monitoring and Control System with Real-Time Data Analytics

Polyhouse farming has emerged as a sustainable solution for achieving high crop yield under controlled environmental conditions. Traditional methods of monitoring and managing polyhouses, however, rely heavily on manual observation, which is time-consuming and prone to human error. This research introduces a Smart Polyhouse Monitoring and Control System integrated with real-time data analytics, designed to optimize environmental conditions and automate decision-making processes. Using an array of IoT sensors, the system continuously monitors critical parameters such as temperature, humidity, soil moisture, light intensity, and CO₂ levels. The collected data are processed in real time through intelligent algorithms that predict trends, detect anomalies, and automatically control irrigation, ventilation, and shading systems. This integrated approach not only reduces resource wastage but also enhances crop health and productivity. Experimental evaluation demonstrates that the proposed system provides precise environmental regulation, proactive management, and improved operational efficiency, offering a significant advancement over conventional polyhouse management practices.