Smart saltwater greenhouses have the potential to enhance sustainable agriculture, food security, and environmental conservation in arid regions. This project focuses on developing a digital twin of a smart saltwater greenhouse to optimize its performance and energy efficiency. The saltwater greenhouse utilizes saltwater for irrigation and can extract salt from evaporated tailwater. By incorporating AI/ML, big data, and cloud/edge computing, the digital twin enables real-time monitoring, health diagnosis, and optimal growth trajectory determination. It allows for virtual testing of configurations and management strategies before implementing them in the real greenhouse. The digital twin supports continuous monitoring and optimization to maximize yields while minimizing resource consumption and environmental impacts.
Digital Twin of a Smart Saltwater Greenhouse
