Optimization of Greenhouse Using Real Time Monitoring and Control System Using PSO Algorithm

This study presents a model real time monitoring greenhouse and control system with integrated sensors to monitor pivotal environmental parameters including soil moisture, temperature, and humidity. The system employs a Particle Swarm Optimization (PSO) algorithm, predicting the future estimates of these parameters, hence allowing for active adjustments and taking tactical measures to maintain optimal conditions for the greenhouse model. The system implements advanced algorithms and sensor technology with an aim of boosting greenhouse agriculture productivity and to ensure optimal resource utilization. The also study highlights the importance and impact of incorporating these predictive modelling methods into greenhouse management systems to help achieve outcomes that are sustainable and efficient for the agricultural industry.