研究者総覧
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
- 巻
- 370
- 号
- 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)