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YOLOv11s-seed precision intelligent control production line for plug tray seedling cultivation
Abstract
To address the low automation and poor precision of traditional Plug Tray Seedling Cultivation (PTSC), this study developed a novel intelligent PTSC model integrating AI with mass production. The system incorporates a YOLOv11 large model, machine vision, deep learning, and the Internet of Things (IoT) into a unified production line. This integrated system automates the entire process, including soil spreading, hole pressing, sowing, watering, and visual inspection. Prototype testing and core functionality verification were conducted to evaluate the system’s performance. Results demonstrate that the system achieves full automation, precise control, and real-time visualization throughout the PTSC workflow. The findings validate the feasibility of this technical solution, effectively enhancing cultivation efficiency and seedling quality. This research provides a robust framework for implementing intelligent, lean production in the commercial vegetable cultivation industry.
