Development of Capturing System and Classification Algorithm of Sorting Device for Prolate Spheroid-Shaped Fruits and Vegetables
Project/Area Number |
24780248
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Agricultural information engineering
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Research Institution | Tsukuba University of Technology (2013-2014) Kyoto Sangyo University (2012) |
Principal Investigator |
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Project Period (FY) |
2012-04-01 – 2015-03-31
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Project Status |
Completed (Fiscal Year 2014)
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Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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Keywords | 画像処理 / 画像認識 / 選別装置 / ニューラルネットワーク / 画像処理・画像認識 |
Outline of Final Research Achievements |
In this research, to lessen the burden of elderly farmers, and to strengthen the international competition power by branding the domestic agricultural products, a device for sorting fruits and vegetables into equal classes by using an image processing of whole surface of targets have been developed. The developed device can be produced compactly at a low cost, which can capture and classify prolate spheroid-shaped fruits and vegetables in short time. Furthermore, the system can adapt for a new kinds of fruits and vegetables easily by using machine learning. As a result, the fast conveyance and classification (1 sec/product) was realized by the mechanism that the system can capture the image of target in the air. The experimental results show that the conveyance ratio and classification ratio are both above 90%.
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Report
(4 results)
Research Products
(25 results)
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[Journal Article] Comprehensive Web Pages of Multiple Sentiments for a Topic2015
Author(s)
Wakamiya, S., Kawai, Y., Kumamoto, T., Zhang, J., and Shiraishi, Y.
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Journal Title
Transactions on Engineering Technologies
Volume: 2015
Pages: 337-352
DOI
ISBN
9789401795876, 9789401795883
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Journal Article] Personalized Web Search Using Emotional Features2013
Author(s)
Jianwei Zhang, Katsutoshi Minami, Yukiko Kawai, Yuhki Shiraishi, and Tadahiko Kumamoto
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Journal Title
Proc. of International Cross-Domain Conference and Workshop on Availability, Reliability, and Security
Volume: 8127
Pages: 69-83
DOI
ISBN
9783642405105, 9783642405112
Related Report
Peer Reviewed
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