Current status and prospects of research on forest fruit picking robots
Forest fruit picking is a seasonal and labor-intensive task,which will affect the quality of fruits and the economic benefits of fruit farmers if the fruits are not harvested in time.Due to the high labor intensity of the picking process,the time-consuming task and the aging and shortage of the agricultural labor force in recent years,manual picking can no longer fully meet the rapid demand of various markets.With the development of deep learning and other technologies,combined with changes in planting,preservation and processing technologies,intelligent robots picking had become an effective way to solve the above problems.Taking apple and strawberry picking robots as examples,the current development status,characteristics,and limiting factors of intelligent fruit picking robots at home and abroad were analyzed.It focused on the research progress of three key technologies respectively for image recognition,fruit positioning,and fruit separation.The development direction of picking robots was discussed from three aspects:structured planting environment,recognition positioning algorithm,and intelligent end effector,to provide reference for further research on forest fruit picking robots in the future.
fruit pickingagricultural robotend effectoridentification and location
NETL
NSTL
万方数据
