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| Presentation | 2023-03-16 14:25 Pear flower pollination path estimation using deep learning and combinatorial optimization Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Tomohito Shimada, Akane Shibasaki (SATRC), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT)  CQ2022-95 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Since fruit trees are grown outdoors, they require heavy and long hours working. In among fruit trees, pears needs artificial pollination, and labor saving is required. In this study, we propose the pollination systems that sprays pollen to pear flowers using a drone. In the proposed scheme, the drones takes an aerial image of the entire pear field from above, and by segmentation using deep learning, the range of the field and the space where the drone can fly are detected from the aerial image. Based on the detected results, image processing and combinatorial optimization are used to estimate the optimal route for autonomous flight that enables pollination work. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Smart agriculture / Deep learning / Drones / Image analysis / Segmentation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 438, CQ2022-95, pp. 74-77, March 2023. | |
| Paper # | CQ2022-95 | |
| Date of Issue | 2023-03-08 (CQ) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CQ2022-95 |
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| Conference Information | |
| Committee | IMQ IE MVE CQ |
| Conference Date | 2023-03-15 - 2023-03-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawaken Seinenkaikan (Naha-shi) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2023-03-IMQ-IE-MVE-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pear flower pollination path estimation using deep learning and combinatorial optimization |
| Sub Title (in English) | |
| Keyword(1) | Smart agriculture |
| Keyword(2) | Deep learning |
| Keyword(3) | Drones |
| Keyword(4) | Image analysis |
| Keyword(5) | Segmentation |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Keita Endo |
| 1st Author's Affiliation | Nippon Institute of Technology (NIT) |
| 2nd Author's Name | Tomotaka Kimura |
| 2nd Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 3rd Author's Name | Hiroyuki Shimizu |
| 3rd Author's Affiliation | Nippon Institute of Technology (NIT) |
| 4th Author's Name | Tomohito Shimada |
| 4th Author's Affiliation | Saitama Agricultural Technology Research Center (SATRC) |
| 5th Author's Name | Akane Shibasaki |
| 5th Author's Affiliation | Saitama Agricultural Technology Research Center (SATRC) |
| 6th Author's Name | Yoshihiro Takemura |
| 6th Author's Affiliation | Tottori University (Tottori Univ.) |
| 7th Author's Name | Takefumi Hiraguri |
| 7th Author's Affiliation | Nippon Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2023-03-16 14:25:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2022-95 |
| Volume (vol) | vol.122 |
| Number (no) | no.438 |
| Page | pp.74-77 |
| #Pages | 4 |
| Date of Issue | 2023-03-08 (CQ) |
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