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New strawberry harvesting robot for elevated-trough culture

机译:新型高架栽培草莓收获机器人

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Feng Qingchun*, Wang Xiu, Zheng Wengang, Qiu Quan, Jiang Kai (National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China) Abstract: In order to improve robotic harvesting and reduce production cost, a harvesting robot system for strawberry on the elevated-trough culture was designed. It was supposed to serve for sightseeing agriculture and technological education. Based on the sonar-camera sensor, an autonomous navigation system of the harvesting robot was built to move along the trough lines independently. The mature fruits were recognized according to the H (Hue) and S (Saturation) color feature and the picking-point were located by the binocular-vision unit. A nondestructive end-effector, used to suck the fruit, hold and cut the fruit-stem, was designed to prevent pericarp damage and disease infection. A joint-type industrial manipulator with six degrees-of-freedom (DOF) was utilized to carry the end-effector. The key points and time steps for the collision-free and rapid motion of manipulator were planned. Experimental results showed that all the 100 mature strawberry targets were recognized automatically in the harvesting test. The success harvesting rate was 86%, and the success harvesting operation cost 31.3 seconds on average, including a single harvest operation of 10 seconds. The average error for fruit location was less than 4.6 mm. Keywords: strawberry harvesting robot, elevated-trough culture, machine vision, nondestructive end-effector, autonomous navigation system, manipulator, sensor DOI: 10.3965/j.ijabe.20120502.001 Citation: Feng Q C, Wang X, Zheng W G, Qiu Q, Jiang K. New strawberry harvesting robot for elevated-trough culture. Int J Agric & Biol Eng, 2012; 5(2): 1.
机译:冯庆春*,王秀,郑文刚,邱权,姜凯(国家农业信息技术工程研究中心,北京100097)摘要:为了提高机械手的收割和降低生产成本,草莓的收割机器人系统在高架槽文化上进行了设计。它应该用于观光农业和技术教育。基于声纳相机传感器,构建了收割机器人的自主导航系统,可以独立地沿着谷线移动。根据H(色相)和S(饱和度)颜色特征识别成熟果实,并通过双目视觉单元确定采摘点。一种非破坏性末端执行器,用于吮吸水果,握持和切割水果茎,旨在防止果皮受损和疾病感染。具有六个自由度(DOF)的关节型工业机械手用于承载末端执行器。计划了机械手无碰撞和快速运动的关键点和时间步骤。实验结果表明,在收获试验中可以自动识别所有100个成熟草莓靶。成功收获率为86%,成功收获操作平均花费31.3秒,其中包括一次10秒的收获操作。水果定位的平均误差小于4.6毫米。关键字:草莓收获机器人,高架槽培养,机器视觉,无损末端执行器,自主导航系统,机械手,传感器DOI:10.3965 / j.ijabe.20120502.001引文:冯QC,王X,郑WG,邱Q,江K.用于高架槽培养的新型草莓收获机器人。农业与生物工程学杂志,2012; 5(2):1。

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