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| Paper Abstract and Keywords | ||
| Presentation | 2022-07-14 12:00 Studys on pollination route estimation method for flowers of pear using field images Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT)  CS2022-19 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Fruit cultivation requires hand and long working compared with vegetable cultivation because careful cares greatly affect the quality of the fruit. Especially, among fruit trees, pears are labor-intensive because of the need for artificial pollination, and there is a need to reduce the amount of labor required to grow pears. The aim of our study is to develop a pollination system using drones to spray pollen onto pear flowers. In this paper, we investigate the optimal pollination path estimation for an autonomous drone that sprays pollen to pollinate pear flowers by taking photographs of the entire pear field and detecting pear trees by semantic segmentation using deep learning. Through experiments using images of an entire pear field, we show that the pear tree can be detected. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Smart agriculture / Deep learning / Drone / Image analysis / Segmentation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 110, CS2022-19, pp. 34-35, July 2022. | |
| Paper # | CS2022-19 | |
| Date of Issue | 2022-07-07 (CS) | |
| 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 | CS2022-19 |
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| Conference Information | |
| Committee | CS |
| Conference Date | 2022-07-14 - 2022-07-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Yakushima Environmental and Cultural Village Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2022-07-CS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Studys on pollination route estimation method for flowers of pear using field images |
| Sub Title (in English) | |
| Keyword(1) | Smart agriculture |
| Keyword(2) | Deep learning |
| Keyword(3) | Drone |
| Keyword(4) | Image analysis |
| Keyword(5) | Segmentation |
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| 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 | Yoshihiro Takemura |
| 4th Author's Affiliation | Tottori University (Tottori Univ.) |
| 5th Author's Name | Takefumi Hiraguri |
| 5th Author's Affiliation | Nippon Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2022-07-14 12:00:00 |
| Presentation Time | 10 minutes |
| Registration for | CS |
| Paper # | CS2022-19 |
| Volume (vol) | vol.122 |
| Number (no) | no.110 |
| Page | pp.34-35 |
| #Pages | 2 |
| Date of Issue | 2022-07-07 (CS) |
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