Art

J-GLOBAL ID：202102274844851101   Reference number：21A0375324

The relationship between perceived freshness and water content of cabbage leaves: A near infrared imaging survey of substance distribution underlying product appearance

キャベツ葉の知覚鮮度と含水量の関係:製品出現の基礎となる物質分布の近赤外イメージング調査【JST・京大機械翻訳】

Author (6)： Luo Xuan (College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, Zhejiang, PR China) ,  Luo Xuan (Food Research Institute, NARO, 2-1-12 Kannondai, Tsukuba, Ibaraki, 305-8642, Japan) ,  Masuda Tomohiro (Faculty of Human Sciences, Bunkyo University, 3337 Minami-Ogishima, Koshigaya, Saitama, 343-8511, Japan) ,  Matsubara Kazuya (College of Gastronomy Management, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan) ,  Wada Yuji (College of Gastronomy Management, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan) ,  Ikehata Akifumi (Food Research Institute, NARO, 2-1-12 Kannondai, Tsukuba, Ibaraki, 305-8642, Japan)
Material： LWT - Food Science and Technology  (LWT Food Sci Technol)
Volume： 139  Page： Null  Publication year： 2021 
JST Material Number： E0549A  ISSN： 0023-6438  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Although freshness is the most...

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Thesaurus term： visual sense ,  food ,  vegetable ,  *cabbage ,  water content ,  human ,  visualization ,  *image processing ,  *near infrared radiation ,  *freshness ,  near infrared spectroscopy ,  surface morphology ,  agricultural products ,  imaging system ,  *near-infrared imaging

Author keywords (5)： Visual freshness perception ,  Luminance distribution ,  Water content ,  NIR spectroscopy ,  NIR imaging

JST classification (2)： Food quality  (FJ01040F) ,  Animal aquatic foods  (FJ13020C)

Terms in the title (10)： キャベツ ,  葉 ,  知覚 ,  鮮度 ,  含水量 ,  基礎 ,  物質 ,  分布 ,  近赤外イメージング ,  調査