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論文
タイトル
タイトル(英)
Estimating the catechin concentrations of new shoots in green tea fields using ground-based hyperspectral imagery
参照URL
https://researchmap.jp/7000020455/published_papers/40343616
著者
著者(英)
Ye Seong Kang,Chanseok Ryu,Masahiko Suguri,Si-bum Park,Shigenobu Kishino,Hiroyuki Onoyama
担当区分
概要
概要(英)
Hyperspectral imagery was applied to estimating non-galloyl (EC, EGC) and galloyl (ECG, EGCG) types of catechins in new shoots of green tea. Partial least squares regression models were developed to consider the effects of commercial fertilizer (CF) and organic fertilizer (OF). The models could explain each type of catechin with a precision of more than 0.79, with a few exceptions. When the CF model was applied to the OF hyperspectral reflectance and the OF model was applied to the CF hyperspectral reflectance for mutual prediction, the prediction accuracy was better with the OF models than CF models. The prediction models using both CF and OF data (hyperspectral reflectances, and concentrations of catechins) had a precision of more than 0.76 except for the non-galloyl-type catechins as a group and EGC alone. These results provide useful data for maintaining and improving the quality of green tea.
出版者・発行元
出版者・発行元(英)
ELSEVIER SCI LTD
誌名
誌名(英)
FOOD CHEMISTRY
370
開始ページ
終了ページ
出版年月
2022年2月
査読の有無
査読有り
招待の有無
掲載種別
研究論文(学術雑誌)
ISSN
0308-8146
DOI URL
https://doi.org/10.1016/j.foodchem.2021.130987
共同研究・競争的資金等の研究課題
研究者
小野山 博之 (オノヤマ ヒロユキ)