机械臂在经济作物采收中的应用现状与展望OA

To analyze the recognition capability and picking accuracy of robotic arms in the harvesting of agricultural cash crops under complex environments,the research progress of key technologies for various cash crop picking robots was reviewed,and it was pointed out that key problems such as the influence of illumination and branch/leaf occlusion on fruit recognition accuracy in complex orchard environments,low efficiency of multi-arm collaborative operation,and insufficient adaptability to different terrains were still faced by current domestic agricultural robotic arm harvesting.The application status of robotic arms in the harvesting of fruits and vegetables such as kiwifruit,apples,strawberries,tomatoes,grapes,and eggplants was emphatically expounded,the research achievements of core technologies including image recognition,motion planning,multi-arm collaboration,and end-effector design were analyzed,as well as the structural design,operation modes,and harvesting efficiency of robotic arms for different crops.The shortcomings of current agricultural robotic arms in terms of recognition algorithms,intelligent integration,and balanced regional development were identified by the research,and targeted development suggestions were proposed.The research results provide theoretical reference and practical support for the technological optimization and equipment development of agricultural robotic arms in cash crop harvesting,and have certain significance for promoting the intelligent,information-based,and industrialized development of agricultural picking.