Paper Abstract and Keywords |
Presentation |
2019-07-04 09:15
A Study on Feature quantities for Identification of fruit and flower by machine learning Eisuke Fukuyama, Yuki Hosino, Takuya Sindo, Takefumi Hiraguri (NIT) CS2019-25 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In modern smart agriculture, technology has been developed to achieve farm work on instead of human by mechanization. However, the agriculture technique has required parts human vision, touch, and experience. These senses and experience work methods are realized using machine learning. In this paper, as one of efforts, we investigated the discrimination of tomato flowers and fruits using machine learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Machine learning / Image recognition / Identification / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 101, CS2019-25, pp. 53-54, July 2019. |
Paper # |
CS2019-25 |
Date of Issue |
2019-06-27 (CS) |
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) |
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CS2019-25 |
Conference Information |
Committee |
CS |
Conference Date |
2019-07-04 - 2019-07-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Amami City Social Welfare Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. |
Paper Information |
Registration To |
CS |
Conference Code |
2019-07-CS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Feature quantities for Identification of fruit and flower by machine learning |
Sub Title (in English) |
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Keyword(1) |
Machine learning |
Keyword(2) |
Image recognition |
Keyword(3) |
Identification |
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1st Author's Name |
Eisuke Fukuyama |
1st Author's Affiliation |
Nippon Institute of Technology (NIT) |
2nd Author's Name |
Yuki Hosino |
2nd Author's Affiliation |
Nippon Institute of Technology (NIT) |
3rd Author's Name |
Takuya Sindo |
3rd Author's Affiliation |
Nippon Institute of Technology (NIT) |
4th Author's Name |
Takefumi Hiraguri |
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Nippon Institute of Technology (NIT) |
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Speaker |
Author-1 |
Date Time |
2019-07-04 09:15:00 |
Presentation Time |
15 minutes |
Registration for |
CS |
Paper # |
CS2019-25 |
Volume (vol) |
vol.119 |
Number (no) |
no.101 |
Page |
pp.53-54 |
#Pages |
2 |
Date of Issue |
2019-06-27 (CS) |
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