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1、The authors are solely responsible for the content of this technical presentation. The technical presentation does not necessarily reflect the official position of the American Society of Agricultural and Biological Eng

2、ineers (ASABE), and its printing and distribution does not constitute an endorsement of views which may be expressed. Technical presentations are not subject to the formal peer review process by ASABE editorial committ

3、ees; therefore, they are not to be presented as refereed publications. Citation of this work should state that it is from an ASABE meeting paper. EXAMPLE: Author's Last Name, Initials. 2008. Title of Presentation. A

4、SABE Paper No. 08----. St. Joseph, Mich.: ASABE. For information about securing permission to reprint or reproduce a technical presentation, please contact ASABE at rutter@asabe.org or 269-429-0300 (2950 Niles Road, St

5、. Joseph, MI 49085-9659 USA). An ASABE Meeting Presentation Paper Number: 084044A Machine Vision for Tomato Cluster Harvesting Robot Naoshi Kondo Division of Environmental Science Kawamura et al., 1985; Fujimura et al.

6、,1995; Kondo et al., 1991; Kondo et al.,1994; Kondo et al.,1987 ) A reason why they have not been commercialized yet is that robot’s operation speed is same or below than human operator’s speed. To reduce the labor f

7、orce on tomato production, a cluster harvesting operation has become popular in the Dutch style greenhouses in US and it was just started also in Japan. A research on a tomato fruit cluster harvesting robot was starte

8、d to automate harvesting operation since last year and each robotic component was studied individually. In this presentation, experimental results of a machine vision system are described. Tomato Cluster Harvesting Ro

9、bot A fruit harvesting robot generally consists of a machine vision, a manipulator, and an end- effector. It has sometimes a travelling device. Figure 1 shows a proto type of a cluster harvesting end-effector attached

10、 to a manipulator used in an experiment. This end-effector enables to grasp a peduncle and to cut and hold it. It has upper and lower fingers driven by solenoid actuators. A limit switch was attached end of fingers

11、for detecting a main stem, while two limit switches were on the lower fingers as pressure sensors to detect a peduncle. A DC motor drives upper finger upward and downward, while another DC motor moves a pushing devic

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