Design of laser weeding machine based on meta-learning object recognition

In the design of automatic weeding machine, in order to realize its autonomous operation function, it is necessary to ensure that the weeding machine can independently distinguish weeds from crops. Considering the problem of small sample identification, the study addresses this point based on the meta-learning algorithm, through which the machine can accurately identify weed targets and thus automatically lock the job objects. And considering the green and efficient weed removal, the study used laser weeding. After the target weeds are detected and identified, the laser actuator is started to burn out the weeds and the laser used is a point laser to ensure that the weeds will not harm the crops, so as to achieve the weeding method without pesticide residues and improve the planting environment of crops.