title: Research on grading detection of the wheat seeds.
abstract: Evaluating the merits of the wheat seed is an important significance for wheat breeding. We studied analytic hierarchy process (AHP) for seeds grading by digital image processing techniques in the paper. Firstly, preprocess the collected wheat seed images; extract some parameters, such as area, plumpness, rectangular, and elongation of the seed, and then build the level model. Experiments showed the model is right, and level accuracy rate is more than 95%.
authors.affiliation: School of Information Science and Technology, Agricultural University of Hebei, Baoding 071002, China.
authors.forename: Xian-Zhong
authors.initials: XZ
authors.lastname: Han
authors.affiliation: School of Information Science and Technology, Agricultural University of Hebei, Baoding 071002, China.
authors.forename: Ke-Jian
authors.initials: KJ
authors.lastname: Wang
authors.affiliation: School of Information Science and Technology, Agricultural University of Hebei, Baoding 071002, China.
authors.forename: Yingchun
authors.initials: Y
authors.lastname: Yuan
authors.affiliation: School of Information Science and Technology, Agricultural University of Hebei, Baoding 071002, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Chen
authors.affiliation: School of Information Science and Technology, Agricultural University of Hebei, Baoding 071002, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Liang
mesh_terms: D008954:Models, Biological; D012639:Seeds / Q000145:classification*; D014908:Triticum / Q000196:embryology*