書誌事項
- タイトル別名
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- Prediction in Rice Plant Cultivation and its Application
抄録
The aim of this study is to design the cultivation environment scenario in the rice plant cultivation. The use of the neural network determines the prediction model which predicts the yield and the quality of the rice from the environmental scenario. The objective function, which is defined from the yield and the quality, is maximized by changing the scenario of the daily average temperature. The result shows that the temperature before the heading date in Nagoya is too high for the rice Oryza sativa ’Koshihikari’.
収録刊行物
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- 計算力学講演会講演論文集
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計算力学講演会講演論文集 2017.30 (0), 018-, 2017
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390282680835688960
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- NII論文ID
- 130006550983
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- ISSN
- 24242799
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可