Rapid and High-Performance Analysis of Total Nitrogen in Coco-Peat Substrate by Coupling Laser-Induced Breakdown Spectroscopy with Multi-Chemometrics - Lu, Bing; Wang, Xufeng; Hu, Can; Li, Xiangyou (Agriculture (Basel), 2024)
Keywords: Agricultural production; agriculture; Algorithms; Analytical chemistry; Artificial intelligence; atomic absorption spectrometry; Breakdowns; Calibration; coco-peat substrate; Crop growth; Crops; Decision making; Environmental law; Fertilization; Fertilizers; Heavy metals; Laser induced breakdown spectroscopy; Lasers; Least squares method; Line spectra; Mathematical models; Multivariate analysis; Nitrogen; Nutrient content; Nutrients; Peat; Performance measurement; prediction; Prediction models; Regression analysis; Root-mean-square errors; soil; spectral analysis; Spectroscopy; Spectrum analysis; Substrates; synergy interval partial least squares; total nitrogen; uninformative variables elimination; Urban agriculture; Variables; Wavelengths; China