title: [Analysis of chlorophyll in Gannan navel orange with algorithm of GA and SPA based on hyperspectral].
abstract: The hyperspectral effective information of Gannan navel orange was extracted by genetic algorithm (GA) and successive projections algorithm (SPA) for partial least squares (PLS) model. Average spectral was extracted from region of interest (ROD) of hyperspectral images after preprocessing. GA and SPA were used to select 27 and 8 characteristic wavelengths for chlorophyll model with PLS. The correlation coefficients and rms error of GA-PLS were 0.80 and 2.45, and the correlation coefficients and rms error of SPA-PLS were 0.83 and 2.30, respectively. Overall results sufficiently demonstrate that SPA-PLS model has a greater advantage which can be combined with hyperspectral technique to be a nondestructive and rapid analytical method.
authors: Institute of Mechanical and Electrical Machinery Technology, East China Jiaotong University, Nanchang 330013, China. jxliuyd@163.com
authors: Yan-De
authors: YD
authors: Liu
authors: Guang-Wei
authors: GW
authors: Zhang
authors: Li-Jun
authors: LJ
authors: Cai
mesh_terms: D000465:Algorithms; D002681:China; D002734:Chlorophyll / Q000032:analysis*; D032084:Citrus sinensis / Q000737:chemistry*; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D018515:Plant Leaves / Q000737:chemistry*; D013057:Spectrum Analysis / Q000379:methods*
chemical_list: D002734:Chlorophyll