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A new scheme to optimize irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecasts
https://repository.lib.tottori-u.ac.jp/records/7159
https://repository.lib.tottori-u.ac.jp/records/715997464e0b-38f0-4685-a333-ccc2acd8b6ec
名前 / ファイル | ライセンス | アクション |
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cea150_387.pdf (3.5 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2022-09-08 | |||||
タイトル | ||||||
タイトル | A new scheme to optimize irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecasts | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | Automated irrigation | |||||
キーワード | ||||||
主題 | Simulation | |||||
キーワード | ||||||
主題 | Transpiration | |||||
キーワード | ||||||
主題 | Drought | |||||
キーワード | ||||||
主題 | Net income | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Automated irrigation | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Simulation | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Transpiration | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Drought | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Net income | |||||
資源タイプ | ||||||
資源タイプ | journal article | |||||
著者 |
藤巻, 晴行
× 藤巻, 晴行× 齊藤, 忠臣× Abd, El Baki Hassan M.× Tokumoto, Ieyasu |
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著者所属(英) | ||||||
言語 | en | |||||
値 | Tottori University | |||||
著者所属(英) | ||||||
言語 | en | |||||
値 | Tottori University | |||||
著者所属(英) | ||||||
言語 | en | |||||
値 | Saga University | |||||
著者所属(英) | ||||||
言語 | en | |||||
値 | Tottori University | |||||
抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Irrigation management can be improved by utilizing advances in numerical models of water flow in soils that can consider future rainfall by utilizing data from weather forecasts. Toward this end, we developed a numerical scheme to determine optimal irrigation depth on scheduled irrigation days based on a concept of virtual net income as a function of cumulative transpiration over each irrigation interval; this scheme combines a numerical model of crop response to irrigation and quantitative weather forecasts. To evaluate benefits, we compared crop growth and net income of this proposed scheme to those of an automated irrigation method using soil water sensors. Sweet potato (Ipomoea batatas (L.), cv. Kintoki) was grown in 2016 in a sandy field of the Arid Land Research Center, Tottori University, Japan under either a non-optimized automated irrigation or the proposed scheme. Under the proposed scheme, 18% less water was applied, yield increased by 19%, and net income was increased by 25% compared with the results of the automated irrigation system. In addition, soil water content simulated by the proposed scheme was in fair agreement with observed values. Thus, it was shown that the proposed scheme may enhance net income and be a viable alternative for determining irrigation depths. | |||||
書誌情報 |
Computers and Electronics in Agriculture en : Computers and Electronics in Agriculture 巻 150, p. 387-393, 発行日 2018-07-31 |
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出版者 | ||||||
出版者 | Elsevier | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 01681699 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.compag.2018.05.016 | |||||
権利 | ||||||
権利情報 | (C) 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||
情報源 | ||||||
関連名称 | Abd El Baki, Hassan M.. Fujimaki, Haruyuki. Tokumoto, Ieyasu. et al. A new scheme to optimize irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecasts. Computers and Electronics in Agriculture. 150. 387-39 | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.sciencedirect.com/science/article/pii/S016816991830200X | |||||
関連名称 | https://www.sciencedirect.com/science/article/pii/S016816991830200X | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |