title: [Advance in nondestructive detection of fruit internal quality based on hyperspectral imaging].
abstract: The present paper reviews the development in the field of hyperspectral imaging technology for nondestructive detection of fruit internal quality in recent years up to the year 2007. With the increasing maturity of hyperspectral imaging technology, decline of cost for its hardware and software, and improvement in hyperspectral image data processing algorithms, hyperspectral imaging technology for fruit quality nondestructive detection has become a hot research topic. In order to track the latest research developments at home and abroad, the fruit internal quality (maturity, firmness, soluble solid content, water content) detection with hyperspectral imaging was reviewed, which would provide reference for Chinese researchers.
authors.affiliation: Department of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
authors.forename: Ben-Xue
authors.initials: BX
authors.lastname: ma
authors.forename: Yi-Bin
authors.initials: YB
authors.lastname: Ying
authors.forename: Xiu-Qin
authors.initials: XQ
authors.lastname: Rao
authors.forename: Jiang-Sheng
authors.initials: JS
authors.lastname: Gui
mesh_terms: D005513:Food Inspection / Q000379:methods*; D005638:Fruit / Q000033:anatomy & histology / Q000737:chemistry / Q000254:growth & development / Q000592:standards; D057054:Molecular Imaging / Q000379:methods*; D011786:Quality Control; D013057:Spectrum Analysis / Q000379:methods*; D014867:Water / Q000032:analysis
chemical_list: D014867:Water