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Paper Abstract and Keywords
Presentation 2022-03-03 13:00
Building a Grape Grain Detection Model for Table Grape Thinning
Chisato Matsumoto, Ko Fujimura (Otsuma Women's Univ.) LOIS2021-40
Abstract (in Japanese) (See Japanese page) 
(in English) This paper addresses the issue of counting grape berries from camera images to support the process of thinning grapes. In the process of deep learning, labeled data is needed to recognize fruit grains, but no data on table grapes is disclosed. Therefore, we constructed the data for this purpose. In addition, using this data, mask R-CNN and Detectron2 were applied and evaluated in comparison with the conventional circle detection method. As a result of the experiment, the method using deep learning obtained higher detection accuracy than the circle detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Smart agriculture / table grape thinning / grape detection / deep learning / Mask R-CNN / Detecton2 / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 401, LOIS2021-40, pp. 1-6, March 2022.
Paper # LOIS2021-40 
Date of Issue 2022-02-24 (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 LOIS2021-40

Conference Information
Committee LOIS  
Conference Date 2022-03-03 - 2022-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2022-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Building a Grape Grain Detection Model for Table Grape Thinning 
Sub Title (in English)  
Keyword(1) Smart agriculture  
Keyword(2) table grape thinning  
Keyword(3) grape detection  
Keyword(4) deep learning  
Keyword(5) Mask R-CNN  
Keyword(6) Detecton2  
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Keyword(8)  
1st Author's Name Chisato Matsumoto  
1st Author's Affiliation Otsuma Women's University (Otsuma Women's Univ.)
2nd Author's Name Ko Fujimura  
2nd Author's Affiliation Otsuma Women's University (Otsuma Women's Univ.)
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Speaker Author-1 
Date Time 2022-03-03 13:00:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2021-40 
Volume (vol) vol.121 
Number (no) no.401 
Page pp.1-6 
#Pages 6 
Date of Issue 2022-02-24 (LOIS) 

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