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    Bhosle B. S.

    11AG61R04Farm Machinery And Power

    Cherry Harvesting Robot

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    INTRODUCTION

    y Necessity of Cherry harvesting robot.

    y Binocular stereo-vision.

    y 3 D vision system.

    y Position sensing device (PSD).

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    MATERIALS AND METHODS

    Cultivation cycle:

    Vase form training: Fruits will be distributed

    widely in large cherry crown.

    Single trunk training: Fruits are located aroundthe trunk.

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    Fig.1. Single Trunk Training (Nara fruit tree

    research center, Nara prefecture, Japan)

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    y

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    MANUPULATOR

    Axis of up and down traverse:

    Driven by AC servomotor and a screw mechanism.

    Three axes of right-left turning:

    Driven by small AC servomotors and Harmonicreduction gears.

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    3-D VISION SENSOR

    Light projector.

    Photo detector.

    Scanning device.

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    Fig. 3. 3-D vision sensor. It is equipped with a light

    projector, a photo detector, and scanning device.

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    Fig. 4. Example of images. Fruit image is expanded in the red

    image.

    (a) Experimental cherry. (b) Infrared image. (c) Red image.

    (d) Range image. (e) Segmentation.

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    ENDEFFECTORS:

    Fig. 5. End Effector. It consisted a fruit sucking device, an open-

    close mechanism, back-forth mechanism, and a pair of fingers.

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    Fig. 6. Motion Of End Effectors.

    (a) Sucking a fruit. (b) Fingers move forward and close halfway

    (c) Fingers move further and grip peduncles (d) End effector detachespeduncle

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    RESULTS ANDDISCUSSION

    y Image recognition experiment:

    Cherry trees used for experiment were ofkoulkanishiki variety

    Cherry trees were 2m in height.

    They were cultivated by using single trunk training.

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    CONTDu

    The cherry trees were scanned from four direction:

    the left of the trunk, left front, right front, the rightof the trunk.

    The experiment was conducted by using 3-D visionsensor.

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    Fig. 7. Scanning direction.

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    Harvesting experiment:

    The harvesting experiment was conducted with

    same cherry trees.

    If there was more than one fruit, the fruit nearest

    the robot was harvested first.

    To approach without collision, mid point was

    decided.

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    Fig. 8. Flow chart of harvesting operation (left side). Detailed flow of Process X is shown in the right side

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    CONCLUSION Cherry fruits are easy to damage.

    Another end effector may be necessary.

    The fruit visibility is one of the main important

    factor.

    Fruit hidden by the leaves may be recognized by

    scanning upward.

    Binding leaves are also favorable for the fruits.

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    REFERENCES

    Hanten, E.J.V., Hemming, J., Tuijl, B.A.J., Kornet, J.G.,

    Meuleman, J., 2002. An autonomous robot for harvesting

    cucumbers in greenhouses. Autonomous Robots 13, 241

    258.

    Gao, W., Fujiura, T., Dohi, M., Nakao, S., 1997. Selective

    harvesting robot for crisp head vegetables. J. Jpn. Soc.

    Agric. Mach. 59 (3), 3745.

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    CONTDu

    Fujiura, T., Ura, M., Kawamura, N., Namikawa, K., 1990.

    Fruit harvesting robot for the orchard. J. Jpn. Soc. Agric.

    Mach. 52 (2), 3542.

    Harrell, R.C., Adsit, P.D., Pool, T.A., Hoffman, R., 1990.

    The Florida robotic grove-lab. Trans. Am. Soc. Agric. Eng.

    33, 391399.

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