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Study on Cartesian-Type Strawberry-Harvesting Robot

机译:笛卡尔式草莓采摘机器人的研究

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摘要

Harvesting strawberries requires high labor costs and long working hours. In order to reduce the labor burden in agriculture, robotic automation is very much desired. Especially, there is a strong demand for the automated harvesting and grading of ripe and soft strawberries, as such takes tend to take long working hours and requires special attention not to damage the fruits. A Cartesian-type strawberry-harvesting robot was developed for in-row hilltop culture. The robot consists of two color cameras (wide-view and detail cameras), a harvesting hand, a fiber-optic sensor and a mobile control unit. The robot can detect the fruit, evaluate its ripeness and pick strawberries by cutting its peduncles. Experimental performance tests showed that the robot could accurately detect the fruits (93.6% efficiency) and harvest samples with more than 50% ripeness level. Some difficulty was observed in accurately detecting the fruit peduncles (70.8% efficiency), Execution time for successfully harvesting a single fruit was about 16.6 s. The result of the testing indicated the potential of harvesting robot with a harvesting hand as well as automatic harvesting algorithm function.
机译:收获草莓需要较高的人工成本和较长的工作时间。为了减轻农业中的劳动负担,非常需要机器人自动化。特别是,对成熟和柔软的草莓的自动收获和分级存在强烈的需求,因为这样往往会花费较长的工作时间,并且需要特别注意以免损坏果实。开发了笛卡尔型草莓收获机器人,用于行山顶培养。该机器人由两个彩色摄像头(广角和细节摄像头),一个收割手,一个光纤传感器和一个移动控制单元组成。机器人可以检测水果,评估其成熟度,并通过切割花梗来摘草莓。实验性能测试表明,该机器人可以准确地检测水果(效率为93.6%),并可以收获成熟度超过50%的样品。在准确检测水果花梗时发现了一些困难(效率为70.8%),成功收获单个水果的执行时间约为16.6 s。测试结果表明具有收割手的收割机器人以及自动收割算法功能的潜力。

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