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Paper Abstract and Keywords
Presentation 2019-03-08 13:55
Examination of estimation accuracy of deep learning by data augmentation
Masashi Kasamatsu, Yukikazu Murakami, Miyoshi Kengo (NIT, Kagawa) LOIS2018-75
Abstract (in Japanese) (See Japanese page) 
(in English) In agriculture, contract cultivation can make price decisions by producers.For contract cultivation, it is necessary to accurately predict harvest date and crop yields.However, to use a neural network, a huge amount of data is required.The farm work diary corresponding to that data is mainly recorded manually by farmers.Therefore, there is a problem that the data of the agricultural industry as a whole is small.In this paper, we implemented a conventional harvest date prediction system using NeuralNetworkConsole (NNC), NeuralNetworkLibraries (NNL) and Python.Then we extended the data to improve the prediction accuracy of the harvest date.
Keyword (in Japanese) (See Japanese page) 
(in English) Agriculture / Neural Network / Harvest Prediction System / Data Augmentation / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 485, LOIS2018-75, pp. 115-119, March 2019.
Paper # LOIS2018-75 
Date of Issue 2019-02-28 (LOIS) 
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 LOIS2018-75

Conference Information
Committee LOIS  
Conference Date 2019-03-07 - 2019-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima-shi Central Community Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2019-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Examination of estimation accuracy of deep learning by data augmentation 
Sub Title (in English)  
Keyword(1) Agriculture  
Keyword(2) Neural Network  
Keyword(3) Harvest Prediction System  
Keyword(4) Data Augmentation  
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1st Author's Name Masashi Kasamatsu  
1st Author's Affiliation National Institute of Technology, Kagawa College (NIT, Kagawa)
2nd Author's Name Yukikazu Murakami  
2nd Author's Affiliation National Institute of Technology, Kagawa College (NIT, Kagawa)
3rd Author's Name Miyoshi Kengo  
3rd Author's Affiliation National Institute of Technology, Kagawa College (NIT, Kagawa)
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Speaker Author-1 
Date Time 2019-03-08 13:55:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2018-75 
Volume (vol) vol.118 
Number (no) no.485 
Page pp.115-119 
#Pages 5 
Date of Issue 2019-02-28 (LOIS) 

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