This research presents an energy-efficient monitoring system for smart greenhouses aimed at reducing power consumption and enhancing sustainability. The study focuses on optimizing the sampling time of monitored environmental parameters to minimize energy usage while maintaining data accuracy. Utilizing an optimal sampling approach significantly reduces energy consumption compared to fixed sampling intervals commonly used in commercial weather stations. Additionally, the implementation of an energy harvesting system, powered by solar
panels, ensures the autonomy of sensors within the greenhouse, reducing the need for human intervention in battery replacement and recharging.