Yueting Wang , Chunjiang Zhao , Hongwu Tian , Zhen Xing , Xiaolong Yue , Shuai Liu , Yili He , Juekun Bai , Lianglin Hao , Mingyan Zhu , Daming Dong
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引用次数: 0
Abstract
Near-infrared spectroscopy (NIRS) has gained increasing attention in agricultural element detection due to its advantages such as rapid analysis, low cost, and non-destructive measurement. With the continuous advancement of chemometric techniques, NIRS has become a powerful tool for extracting meaningful information from complex spectral data. Despite its growing applications, several critical challenges remain, particularly in enhancing data quality, selecting informative features, and developing robust modelling approaches. This review provides a comprehensive overview of recent progress in these areas, offering insights into data augmentation strategies, feature selection methods, and advanced modelling techniques. While the focus is on agricultural applications, the methodologies and conclusions presented herein are broadly applicable to other domains where NIRS plays a significant role.
期刊介绍:
Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science.
The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments.
Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate.
Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to:
Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences,
Novel experimental techniques or instrumentation for molecular spectroscopy,
Novel theoretical and computational methods,
Novel applications in photochemistry and photobiology,
Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.