Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news originating from Beijing, People's Repu blic of China, by NewsRx correspondents, research stated, "The harvest year of m aize seeds has a significant impact on seed vitality and maize yield." Financial supporters for this research include Natural Science Foundation of Jia ngsu Province; National Natural Science Foundation of China; Open Project of Chi na Food Flavor And Nutrition Health Innovation Center. The news reporters obtained a quote from the research from Beijing Forestry Univ ersity: "Therefore, it is vital to identify new seeds. In this study, an on-line near-infrared (NIR) spectra collection device (899- 1715 nm) was designed and em ployed for distinguishing maize seeds harvested in different years. Compared wit h least squares support vector machine (LS-SVM), k-nearest neighbor (KNN), and e xtreme learning machine (ELM), the partial least squares discriminant analysis ( PLS-DA) model has the optimal recognition performance for maize seed harvest yea rs. Six different preprocessing methods, including Savitzky-Golay smoothing (SGS ), standard normal variate transformation (SNV), multiplicative scatter correcti on (MSC), Savitzky-Golay 1 derivative (SG-D1), Savitzky-Golay 2 derivative (SG-D 2), and normalization (Norm), were used to improve the quality of the spectra. T he Monte Carlo cross-validation uninformative variable elimination (MC-UVE), com petitive adaptive reweighted sampling (CARS), bootstrapping soft shrinkage (BOSS ), successive projections algorithm (SPA), and their combinations were used to o btain effective wavelengths and decrease spectral dimensionality."
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