Automated Greenhouse Transport System An Automated Greenhouse Transport System (AGTS) is an advanced solution designed to streamline the movement of plants, materials, and equipment within a greenhouse environment. By leveraging automation technologies such as robotics, conveyor systems, and intelligent control software, AGTS enhances operational efficiency, reduces labor costs, and minimizes human error in greenhouse management. The system typically consists of autonomous guided vehicles (AGVs) or robotic carts that navigate predefined pathways within the greenhouse. These vehicles are equipped with sensors, such as LiDAR or cameras, to detect obstacles and ensure safe movement. The transport units can carry trays of seedlings, harvested produce, or supplies like fertilizers and tools, transferring them between different sections of the greenhouse—such as growing beds, packaging areas, or storage zones—without manual intervention. A central control system coordinates the AGTS, optimizing routes and scheduling tasks based on real-time data. For example, if a section of plants requires harvesting, the system dispatches transport units to collect the produce and deliver it to the processing area. Similarly, seedlings can be automatically relocated from propagation zones to growing tables as they mature. The integration of IoT sensors allows the system to monitor environmental conditions, ensuring timely adjustments to lighting, irrigation, or temperature during transport. Key benefits of AGTS include: 1. Increased Efficiency – Automated transport reduces delays and maximizes workflow continuity. 2. Labor Savings – Minimizes reliance on manual labor for repetitive tasks. 3. Precision Handling – Ensures gentle and accurate movement of delicate plants. 4. Scalability – Adaptable to greenhouses of varying sizes and layouts. 5. Data-Driven Decisions – Logs transport operations for performance analysis and optimization. By automating material handling, AGTS supports sustainable greenhouse farming, enabling higher productivity and consistent crop quality while reducing operational costs. Future advancements may include AI-driven path optimization and integration with other automated systems like robotic harvesters or climate control units, further revolutionizing greenhouse agriculture.