| Presentation | 2018-11-05 Soil moisture content estimation on irrigation strategy analysis for optimal crop management Kosuke Oda, Ryo Shigeta, Yoshihiro Kawahara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | soil moisture sensor / irrigation scheduling / smart agriculture / wireless sensor network |
| Paper # | ASN2018-54 |
| Date of Issue | 2018-10-29 (ASN) |
| Conference Information | |
| Committee | ASN / SRW |
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| Conference Date | 2018/11/5(2days) |
| 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. |
| Chair | Hiraku Okada(Nagoya Univ.) / Tadao Nakagawa(Tottori Univ.) |
| Vice Chair | Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Satoshi Denno(Okayama Univ.) / Makoto Hamaminato(Fujitsu labs.) |
| Secretary | Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) / Satoshi Denno(Kyoto Univ.) / Makoto Hamaminato(Tokyo Inst. of Tech.) |
| Assistant | Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) / Hiromasa Yamauchi(Fujitsu labs.) / Hanako Noda(Anritsu) |
| Paper Information | |
| Registration To | Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| 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 |
| 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) |
| Date | 2018-11-05 |
| Paper # | ASN2018-54 |
| Volume (vol) | vol.118 |
| Number (no) | ASN-282 |
| Page | pp.pp.13-18(ASN), |
| #Pages | 6 |
| Date of Issue | 2018-10-29 (ASN) |