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菇类采摘机器人研究现状和展望

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中国是世界上食用菌生产与消费第一大国.随着中国食用菌产业规模的持续扩大,传统的人工采摘方式已无法满足高效率、低成本的生产需求,迫切需要采用智能化控制技术解决生产中用工量最大的采摘问题.本文首先以香菇机械化采摘为例,分析了成熟待采香菇物理特性与层架式生长环境特性对图像识别、机器视觉及柔性机械臂的要求;阐述了香菇采摘、平菇采摘、双孢蘑菇采摘及黑木耳采摘等主要食用菌品种在目标识别、路径规划、采摘方式和机器作业空间等方面的不同,强调了不同品种在采摘方面对复杂操作系统的独特需求.最后,总结现有食用菌采摘技术在识别、减损及效率等方面的局限性,提出未来菇类采摘机器人的发展方向.本文为菇类采摘机器人技术的发展提供了参考,助力我国食用菌产业全链条智能化生产.
Current Status and Future Prospects of Mushroom Harvesting Robots
China is the world's largest producer and consumer of edible mushrooms.As the scale of China's edible mushroom industry continues to expand,traditional manual harvesting methods have become insufficient to meet the demands for high efficiency and low production costs.There is an urgent need to adopt intelligent control technologies to address the harvesting process,which represents the most labor-intensive segment of production.Taking the mechanized harvesting of shiitake mushrooms as an example to analyze the requirements for image recognition,machine vision,and flexible robotic arms,based on the physical characteristics of mature shiitake mushrooms ready for harvest and the attributes of shelf-based cultivation environments.It elaborated on the differences among major edible mushroom varieties,including shiitake,oyster,button,and black fungus mushrooms in terms of target recognition,path planning,harvesting methods,and robotic operational space,emphasizing the unique demands of different species on complex operational systems during harvesting.Finally,the limitations of existing edible mushroom harvesting technologies regarding recognition accuracy,damage minimization,and operational efficiency were discussed,and future development directions for mushroom harvesting robots were proposed.The research result can provide a valuable reference for the advancement of mushroom harvesting robot technology,thereby supporting the full-chain intelligent production of China's edible mushroom industry.

mushroomharvesting robotimage recognitionmachine visionreview

王明友、王达、宋卫东、孙玉利、张振烨、赵鑫培

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农业农村部南京农业机械化研究所,南京 210014

南京航空航天大学机电学院,南京 210016

食用菌 采摘机器人 图像识别 机器视觉 综述

2024

农业机械学报
中国农业机械学会 中国农业机械化科学研究院

农业机械学报

CSTPCD北大核心
影响因子:1.904
ISSN:1000-1298
年,卷(期):2024.55(z1)