Design and Test of the Seedling Cavitation and Lodging Monitoring System for the Rape Blanket Seedling Transplanter

To realize the real-time monitoring of lodging and cavitation state rape blanket seedling transplanter, a online system set for based on machine vision was designed. The mainly composed an image acquisition module, height sensor, IPC (Industrial Personal Computer). When starts to work, lens from ground collected images are saved in real time, operating status equipment is judged according ground, actual corresponding size pixels corrected. We proposed calculation method judging seedlings comparison between planting position theoretical seedlings. processing analysis software transplanter compiled, developed. dynamic test showed that maximum absolute error recognition rate 1.23%, 3.80%. total time consumed 1 m collection, stitching, field about s. accuracy judgment can meet requirements transfer