title: Visible Light Image-Based Method for Sugar Content Classification of Citrus.
abstract: Visible light imaging of citrus fruit from Mie Prefecture of Japan was performed to determine whether an algorithm could be developed to predict the sugar content. This nondestructive classification showed that the accurate segmentation of different images can be realized by a correlation analysis based on the threshold value of the coefficient of determination. There is an obvious correlation between the sugar content of citrus fruit and certain parameters of the color images. The selected image parameters were connected by addition algorithm. The sugar content of citrus fruit can be predicted by the dummy variable method. The results showed that the small but orange citrus fruits often have a high sugar content. The study shows that it is possible to predict the sugar content of citrus fruit and to perform a classification of the sugar content using light in the visible spectrum and without the need for an additional light source.
authors.affiliation: Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China.
authors.forename: Xuefeng
authors.initials: X
authors.lastname: Wang
authors.affiliation: Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China.
authors.forename: Chunyan
authors.initials: C
authors.lastname: Wu
authors.affiliation: Hokkaido Agricultural Research Center, Memuro-cho, Kasai-gun, Japan.
authors.forename: Masayuki
authors.initials: M
authors.lastname: Hirafuji
mesh_terms: D000465:Algorithms; D002241:Carbohydrates / Q000032:analysis*; D002957:Citrus / Q000737:chemistry* / Q000378:metabolism; D005638:Fruit / Q000737:chemistry / Q000378:metabolism; D008027:Light
chemical_list: D002241:Carbohydrates