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- 柳 讃錫
- The Japanese Society of Agricultural Machinery Division of Environmental Science and Technology, Graduate School of Agriculture, Kyoto University
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- 村主 勝彦
- The Japanese Society of Agricultural Machinery Division of Environmental Science and Technology, Graduate School of Agriculture, Kyoto University
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- 飯田 訓久
- The Japanese Society of Agricultural Machinery Division of Environmental Science and Technology, Graduate School of Agriculture, Kyoto University
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- 梅田 幹雄
- The Japanese Society of Agricultural Machinery Division of Environmental Science and Technology, Graduate School of Agriculture, Kyoto University
書誌事項
- タイトル別名
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- Validation of Rice Taste Elements Influenced by Amounts of Nitrogen Fertilizer and Estimation Using Remote Sensing
- セヒリョウ ニ ヨル ショクミ セイブン ノ ヘンドウ オヨビカクソク ニ ヨル スイテイ
この論文をさがす
抄録
In this research, the spatial variability of amylose and protein content (hereinafter referred to as rice taste elements), using two test fields with different nitrogen fertilizer applications, was investigated. In test field 1, nitrogen fertilizer was applied with seven nitrogen treatments at both basal dressing and topdressing. In test field 2, nitrogen fertilizer was applied with seven nitrogen treatments at basal dressing and with variable rates at topdressing, depending on the plant growth. Although the rice taste and those elements showed a negative correlation, the applied amount of nitrogen fertilizer at topdressing showed a positive correlation with rice taste elements. Rice taste element prediction models were established using the rice taste elements in test field 1 at harvesting with reflectance of multi and hyperspectral remote sensing in the heading stage. The rice taste element prediction model was validated using the rice taste elements in test field 2. RMSEC (RMSEP) of models using multi and hyperspectral remote sensing were 0.774 (0.883) and 0.117 (0.122) at the model of amylose, 0.862 (0.965) and 0.136 (0.121) at the model of protein.
収録刊行物
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- 農業機械学会誌
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農業機械学会誌 69 (1), 52-58, 2007
農業食料工学会
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詳細情報 詳細情報について
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- CRID
- 1390001204312937344
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- NII論文ID
- 10018656769
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- NII書誌ID
- AN00200470
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- ISSN
- 18846025
- 02852543
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- NDL書誌ID
- 8641561
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可