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Paper Abstract and Keywords
Presentation 2024-06-27 09:00
[Poster Presentation] Study of tomato harvest timing method and development of AI camera using image analysis technology
Yasuhiro Okabe, Takefumi Hiraguri, Keita Endo (NIT), Daisuke Hayashi, Shinichi Murata (Koden) CQ2024-27
Abstract (in Japanese) (See Japanese page) 
(in English) Smart agriculture includes remote confirmation using webcams, use as the eyes of fruit-harvesting robots that automatically harvest fruits and vegetables by detecting their position, and the development of advanced artificial intelligence (AI) cameras. There are various cultivation methods that utilize cameras and image data analysis to save labor. On the other hand, it is difficult to ship tomatoes of consistent quality because the optimal timing of tomato harvesting varies from farmer to farmer, and harvesting is done based on subjective judgments. In addition, it is important for farmers to predict the harvest volume because prices fluctuate depending on the amount of tomatoes shipped..
We propose a method for measuring the size of multiple tomatoes using machine learning and LiDAR as a basic technology for estimating the optimal harvest time and predicting the yield two weeks later. We also propose an image data analysis method for classifying the color of growing tomatoes, independent of changes in light intensity over time and weather conditions in the field. This paper reports on the development of a portable AI camera to implement these techniques.
Keyword (in Japanese) (See Japanese page) 
(in English) Smart Agriculture / LiDAR / YOLO / HSV color space / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 90, CQ2024-27, pp. 42-42, June 2024.
Paper # CQ2024-27 
Date of Issue 2024-06-19 (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 CQ2024-27

Conference Information
Committee CQ  
Conference Date 2024-06-26 - 2024-06-28 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CQ 
Conference Code 2024-06-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of tomato harvest timing method and development of AI camera using image analysis technology 
Sub Title (in English)  
Keyword(1) Smart Agriculture  
Keyword(2) LiDAR  
Keyword(3) YOLO  
Keyword(4) HSV color space  
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1st Author's Name Yasuhiro Okabe  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Takefumi Hiraguri  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
3rd Author's Name Keita Endo  
3rd Author's Affiliation Nippon Institute of Technology (NIT)
4th Author's Name Daisuke Hayashi  
4th Author's Affiliation Koden Electronics Co., Ltd. (Koden)
5th Author's Name Shinichi Murata  
5th Author's Affiliation Koden Electronics Co., Ltd. (Koden)
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Speaker Author-1 
Date Time 2024-06-27 09:00:00 
Presentation Time 60 minutes 
Registration for CQ 
Paper # CQ2024-27 
Volume (vol) vol.124 
Number (no) no.90 
Page p.42 
#Pages 1 
Date of Issue 2024-06-19 (CQ) 

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