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| Presentation | 2009-07-13 14:30 Estrus Detection of Cattle by Activity using Neural Network Ryosuke Kawakami, Toru Watanabe (Matsue College of Technology), Makoto Dohi (Shimane Univ.), Motoi Nakashima (Innovit)  NLP2009-21 NC2009-14 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Cattle breeders in Japan are facing problem of declining productivity by missing estrous sign of maternal cows with resulting economical losses damaging the management of them. As the estrous sign includes increasing activities, allowing mounting, mucus discharge and elevated body temperature, there are many enterprises recently working on to research and develop a system that detect estrous cows with monitoring activities and body temperature of those cows. The Researchers in this study proposed a method to detect estrous cows by analyzing activity data exploiting the typical expression of increasing activity as one of the estrous sign. First, indicators representing increase of each activity are extracted from the activity data. Then, each indicator was learned in a multi-layer neural network and the outputs were compared and evaluated by each indicator to show validity of utilizing multi-layer neural network in detecting estrus. It was also identified that each indicator has its best targeting period. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Cattle / Estrus detection / activity / Multi-layer neural network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 125, NC2009-14, pp. 37-42, July 2009. | |
| Paper # | NC2009-14 | |
| Date of Issue | 2009-07-06 (NLP, NC) | |
| ISSN | Print edition: ISSN 0913-5685 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 | NLP2009-21 NC2009-14 |
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| Conference Information | |
| Committee | NC NLP |
| Conference Date | 2009-07-13 - 2009-07-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NAIST |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2009-07-NC-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estrus Detection of Cattle by Activity using Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Cattle |
| Keyword(2) | Estrus detection |
| Keyword(3) | activity |
| Keyword(4) | Multi-layer neural network |
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| 1st Author's Name | Ryosuke Kawakami |
| 1st Author's Affiliation | Matsue College of Technology (Matsue College of Technology) |
| 2nd Author's Name | Toru Watanabe |
| 2nd Author's Affiliation | Matsue College of Technology (Matsue College of Technology) |
| 3rd Author's Name | Makoto Dohi |
| 3rd Author's Affiliation | Shimane University (Shimane Univ.) |
| 4th Author's Name | Motoi Nakashima |
| 4th Author's Affiliation | Innovit Corporation (Innovit) |
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| Speaker | Author-1 |
| Date Time | 2009-07-13 14:30:00 |
| Presentation Time | 30 minutes |
| Registration for | NC |
| Paper # | NLP2009-21, NC2009-14 |
| Volume (vol) | vol.109 |
| Number (no) | no.124(NLP), no.125(NC) |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2009-07-06 (NLP, NC) |
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