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Paper Abstract and Keywords
Presentation 2020-09-03 13:30
Development of a crop monitoring system using edge computing
Yilong Chen, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2020-38
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 Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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

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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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
Date Time 2020-09-03 13:30:00 
Presentation Time 25 
Registration for CQ 
Paper # IEICE-CQ2020-38 
Volume (vol) IEICE-120 
Number (no) no.155 
Page pp.21-25 
#Pages IEICE-5 
Date of Issue IEICE-CQ-2020-08-27 


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