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| Presentation | 2018-11-05 11:15 Soil moisture content estimation on irrigation strategy analysis for optimal crop management Kosuke Oda, Ryo Shigeta, Yoshihiro Kawahara (UT)  ASN2018-54 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Irrigation management is crucial factor to improve farming productivity, and highly skilled farmers have acquired mostly optimized irrigation strategies empirically. However, the most of them rely on personal skills and data driven strategies, in which soil moisture sensors are utilized, have not been common yet. Therefore, in this research, an automated irrigation algorithm by analyzing the relationship between irrigation history and environmental data such as soil moisture, temperature and solar radiation is discussed. Although irrigation history, cultivation result and meteorological data are widely collected, amount of soil moisture data is relatively limited because soil moisture sensors have not been affordable for the most of farmers. In irrigation strategy analysis, the lack of soil moisture records need to be covered by estimated value from the other meteorological data. In this paper, we propose a method to estimate soil moisture by obtaining evapotranspiration from meteorological data and discuss applicability on irrigation managements in green houses. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | soil moisture sensor / irrigation scheduling / smart agriculture / wireless sensor network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 282, ASN2018-54, pp. 13-18, Nov. 2018. | |
| Paper # | ASN2018-54 | |
| Date of Issue | 2018-10-29 (ASN) | |
| 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 | ASN2018-54 |
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| Conference Information | |
| Committee | ASN SRW |
| Conference Date | 2018-11-05 - 2018-11-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Denki University, Tokyo Senju Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Poster session, etc. |
| Paper Information | |
| Registration To | ASN |
| Conference Code | 2018-11-ASN-SRW |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Soil moisture content estimation on irrigation strategy analysis for optimal crop management |
| Sub Title (in English) | |
| Keyword(1) | soil moisture sensor |
| Keyword(2) | irrigation scheduling |
| Keyword(3) | smart agriculture |
| Keyword(4) | wireless sensor network |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Kosuke Oda |
| 1st Author's Affiliation | The University of Tokyo (UT) |
| 2nd Author's Name | Ryo Shigeta |
| 2nd Author's Affiliation | The University of Tokyo (UT) |
| 3rd Author's Name | Yoshihiro Kawahara |
| 3rd Author's Affiliation | The University of Tokyo (UT) |
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| Speaker | Author-1 |
| Date Time | 2018-11-05 11:15:00 |
| Presentation Time | 25 minutes |
| Registration for | ASN |
| Paper # | ASN2018-54 |
| Volume (vol) | vol.118 |
| Number (no) | no.282 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2018-10-29 (ASN) |
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