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| Presentation | 2020-09-03 13:30 Development of a crop monitoring system using edge computing Yilong Chen, Celimuge Wu, Tsutomu Yoshinaga (UEC)  CQ2020-38 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The combination of internet of things (IoT) with edge computing will open a new era to monitor crops. An efficient IoT system can not only save costs, but also maximize agricultural production. In this paper, we develop a multi-modal crop monitoring system by utilizing the latest edge computing technology. Through the proposed system, we successfully move the entire process of image recognition and sensor data collection to edge devices. In the proposed system, real-time image data can be collected from a camera and the degree of fruit maturity can be identified without Internet. In addition, the data of sensors can be captured in real-time to clearly know the environmental factors of agricultural products. Comparing with cloud computing systems, the proposed system can reduce latency and improve data security. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Edge computing / Raspberry PI / Image recognition / Internet of things / Docker / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 155, CQ2020-38, pp. 21-25, Sept. 2020. | |
| Paper # | CQ2020-38 | |
| Date of Issue | 2020-08-27 (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 | CQ2020-38 |
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| Conference Information | |
| Committee | CQ |
| Conference Date | 2020-09-03 - 2020-09-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka University Nakanoshima Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning in Wireless Communication, AI, 6G/Beyond 5G, LPWA, Drone Network, Communications in Extreme Environments, Wireless Networks, QoS and QoE in Wireless Communication, Wireless Resource Allocation, Wireless Transmission Quality, Cross layer Technology, Ad-hoc Network, IoT/M2M, Wireless, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2020-09-CQ |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of a crop monitoring system using edge computing |
| Sub Title (in English) | |
| Keyword(1) | Edge computing |
| Keyword(2) | Raspberry PI |
| Keyword(3) | Image recognition |
| Keyword(4) | Internet of things |
| Keyword(5) | Docker |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yilong Chen |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Celimuge Wu |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
| 3rd Author's Name | Tsutomu Yoshinaga |
| 3rd Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2020-09-03 13:30:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2020-38 |
| Volume (vol) | vol.120 |
| Number (no) | no.155 |
| Page | pp.21-25 |
| #Pages | 5 |
| Date of Issue | 2020-08-27 (CQ) |
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