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| Paper Abstract and Keywords | ||
| Presentation | 2022-01-25 13:25 [Short Paper] AI image analysis by drones on the sky Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Nobuhiko Itoh, Takefumi Hiraguri (NIT)  SR2021-77 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Smart agriculture has been garnering attention to improve the efficiency of agricultural works. For example, advanced technologies such as drones and Artificial Intelligence(AI) may reduce labor, increase productivity, and grow high-quality crops. The aim of our study is to photograph fields of green onions from the sky using drones, then to predict the harvest time and observe the growth situation using AI image analysis. Therefore, in this paper, we proposed basic technology for area section classification of each field by using segmentation method using deep learning to analyze the cultivation situation of each field. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Smart agriculture / AI / Drone / Image analysis / Segmentation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 345, SR2021-77, pp. 93-95, Jan. 2022. | |
| Paper # | SR2021-77 | |
| Date of Issue | 2022-01-17 (SR) | |
| 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 | SR2021-77 |
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| Conference Information | |
| Committee | SR |
| Conference Date | 2022-01-24 - 2022-01-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2022-01-SR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | AI image analysis by drones on the sky |
| Sub Title (in English) | |
| Keyword(1) | Smart agriculture |
| Keyword(2) | AI |
| Keyword(3) | Drone |
| Keyword(4) | Image analysis |
| Keyword(5) | Segmentation |
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| 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 | Nobuhiko Itoh |
| 3rd Author's Affiliation | Nippon Institute of Technology (NIT) |
| 4th Author's Name | Takefumi Hiraguri |
| 4th Author's Affiliation | Nippon Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2022-01-25 13:25:00 |
| Presentation Time | 15 minutes |
| Registration for | SR |
| Paper # | SR2021-77 |
| Volume (vol) | vol.121 |
| Number (no) | no.345 |
| Page | pp.93-95 |
| #Pages | 3 |
| Date of Issue | 2022-01-17 (SR) |
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