The application discloses an intelligent
cutting path
planning method based on
bud eye position information, relates to the technical field of
bud eye
cutting planning, and is used for solving the problems of unreasonable
cutting position, breeding success
rate reduction and cutting resource waste. A
laser radar scanner is used to obtain a three-dimensional image of crops and mark positions, attribute data is collected to calculate active weight,
water content is detected to analyze a target cutting path and generate a driving
signal, the cutting area is determined, the
bud eye barycenter offset degree and the aggregation degree are calculated, and the cutting
utilization rate is generated. After the driving
signal is detected, the cutting operation is started, the movement and stress data of the
cutting tool are collected in real time, the offset rate and the abnormal impedance value are calculated, and it is judged whether the
path switching mechanism is enabled. If the
path switching mechanism is enabled, the cutting speed is detected, the adjacent cutting points are judged in combination with the cutting
utilization rate, and the path is adjusted. The cutting
utilization rate is calculated by comprehensively considering the active weight, the
water content, the bud eye offset degree and the aggregation degree, the integrity of crops is ensured, and the cutting efficiency is maximized.