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Paper Abstract and Keywords
Presentation 2014-05-29 14:30
[Poster Presentation] A proposal for an agricultural environmental control system based on wireless sensor networks and machine learning
Yukimasa Kaneda, Hirofumi Ibayashi, Yuya Suzuki (Shizuoka Univ.), Naoki Oishi (Research Institute of Agric.), Hiroshi Mineno (Shizuoka Univ.) ASN2014-22
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years , agricultural support using ICT has been actively conducted.An example of such system is monitoring environmental information by building a sensor network in the facilities gardening. Then predicting the environment after a certain time from the sensing data, and to control the control equipment.However , the quality of the wireless communication is reduced in the harsh environments of horticulture , control failure of control equipment or loss of measurement data can be considered.In addition , in order to perform appropriate control according to the prediction , it is necessary to make a prediction with high accuracy at high speed .
In this study , we suggest the environmental control system smart and reliable .By validating failure that may occur , and take appropriate measures with respect to that portion and enabled a reliable sensor networks 99.68% data delivery ratio .Further, by performing learning using the SVR which is one of machine learning for prediction , focusing on the characteristics of time series data , it was confirmed that compared with the SVR which performed the usual study , reduction of prediction error about 17% is performed .
Keyword (in Japanese) (See Japanese page) 
(in English) Agriculture Support / Robust Sensor Network / Support Vector Regression (SVR) / Time-series Data Prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 65, ASN2014-22, pp. 75-76, May 2014.
Paper # ASN2014-22 
Date of Issue 2014-05-22 (ASN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee ASN  
Conference Date 2014-05-29 - 2014-05-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Convention Hall, RCAST, The University of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ASN 
Conference Code 2014-05-ASN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A proposal for an agricultural environmental control system based on wireless sensor networks and machine learning 
Sub Title (in English)  
Keyword(1) Agriculture Support  
Keyword(2) Robust Sensor Network  
Keyword(3) Support Vector Regression (SVR)  
Keyword(4) Time-series Data Prediction  
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1st Author's Name Yukimasa Kaneda  
1st Author's Affiliation Shizuoka University (Shizuoka Univ.)
2nd Author's Name Hirofumi Ibayashi  
2nd Author's Affiliation Shizuoka University (Shizuoka Univ.)
3rd Author's Name Yuya Suzuki  
3rd Author's Affiliation Shizuoka University (Shizuoka Univ.)
4th Author's Name Naoki Oishi  
4th Author's Affiliation Shizuoka Prefectural Research Institute of Agriculture and Forest (Research Institute of Agric.)
5th Author's Name Hiroshi Mineno  
5th Author's Affiliation Shizuoka University (Shizuoka Univ.)
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Speaker Author-1 
Date Time 2014-05-29 14:30:00 
Presentation Time 60 minutes 
Registration for ASN 
Paper # ASN2014-22 
Volume (vol) vol.114 
Number (no) no.65 
Page pp.75-76 
#Pages
Date of Issue 2014-05-22 (ASN) 


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