Using AI visual recognition, image refinement processing, and machine learning technology, it accurately detects missing seedlings in high-speed transplanting operations and provides timely audible and visual alarm notifications. The system generates a real-time quality heatmap of the transplanting operation, clearly showing missing seedling areas and guiding seedling supplementation. The device is easy to install and does not interfere with the transplanting process. By employing edge algorithms and cloud computing, it can continue monitoring operations even when the network is disconnected. The big data cloud platform generates operation quality evaluation reports, providing comprehensive management of transplanting operations to help farmers improve efficiency and achieve refined yield increase.
Product Composition
The product includes the module host, seedling tray sensors, and cockpit controls, and is equipped online with a transplanting operation quality monitoring platform and a big data dashboard.
Highlights
Interference-Free Operation
The design is compact, ensuring that it does not interfere with transplanting operations, maintaining continuity and efficiency.
High-speed Visual Recognition
By combining visual sensors and machine learning technology, it accurately identifies missing seedling situations.
Missing Seedling Alarm Notification
If transplanting quality decreases, the equipment issues an audible and visual alarm.
Real-time Generation of Heatmap
Real-time generation of missing seedling heatmaps, clearly showing the missing seedling areas, providing precise guidance.
Supports Offline
By using edge computing and cloud computing, offline operation is supported, ensuring farm operations are not restricted by network limitations.
Data Analysis and Reporting
Real-time statistical analysis of operation area, operation time, quality assessment, and other information.
Universal Big Data Dashboard
Operation quality, rankings, and seedling supplementation areas are all clearly visible.
Night operation
Good night work performance, supporting fill light can accurately monitor the operation situation.
application scenario
