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J-GLOBAL ID：201702276359796678   Reference number：17A0170794

Prediction for nitrogen content of rice leaves in cold regionbased on hyperspectrum

ハイパースペクトルに基づく寒冷イネ葉の窒素含有量の予測【JST・京大機械翻訳】

Author (7)： Wang Shuwen (College of Electric and Information, Northeast Agricultural University) ,  Zhao Yue (College of Electric and Information, Northeast Agricultural University) ,  Wang Lifeng (College of Electric and Information, Northeast Agricultural University) ,  Wang Runtao (College of Electric and Information, Northeast Agricultural University) ,  Song Yuzhu (College of Electric and Information, Northeast Agricultural University) ,  Zhang Changli (College of Electric and Information, Northeast Agricultural University) ,  Su Zhongbin (College of Electric and Information, Northeast Agricultural University)
Material： Nongye Gongcheng Xuebao  (Transactions of the Chinese Society of Agricultural Engineering)
Volume： 32  Issue： 20  Page： 187-194  Publication year： 2016 
JST Material Number： C2454A  ISSN： 1002-6819  CODEN： NGOXEO  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： In this paper, in order to rea...

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Thesaurus term： image technology ,  multiple regression analysis ,  lamina ,  reflectivity ,  *spectrum ,  *nitrogen ,  regression analysis ,  principal component analysis ,  intercalary growth ,  paddy rice
Semi thesaurus term： 多変量 ,  決定係数 ,  相関分析 ,  ハイパースペクトルデータ ,  *ハイパースペクトル , 【Automatic Indexing@JST】

Author keywords (6)： spectrum analysis ,  algorithms ,  nitrogen ,  rice ,  successive projections algorithm ,  segmented principal components analysis

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Remote sensing in general  (AD04000L)

Terms in the title (5)： ハイパースペクトル ,  イネ ,  葉 ,  窒素含有量 ,  予測