Design of Intelligent Cabbage Harvester Based on Image Recognition
To repair the defect of existing cabbage harvesters,an intelligent cabbage harvester is designed based on image recognition.Devices such as torsion,grasping,translation,cutting,storage are incorporated,combined with image recognition and Internet of Things technology,which enables the harvester to accurately identify and locate cabbage,and complete the tasks including harvesting,removing roots and rotten leaves,packing.In addition,with the help of PID controller,the in-situ torsion harvest of cabbage is achieved,reducing the damage of cabbage root.The testing results on the prototype harvester show that the machine can achieve automated harvesting and meet the requirements of both small-plot individual farming and greenhouse large-scale farming.
万方数据
维普
