Spectral Data Preprocessing
Spectral Data Preprocessing is a methodological procedure in process analytical chemistry that comprises a series of signal correction and enhancement techniques applied to raw spectral measurements to reduce instrumental and environmental noise, baseline drift, and scattering effects, thereby improving the quality and interpretability of spectral data for subsequent qualitative or quantitative analysis.
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2017–2026
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Technologies & méthodes pour les agricultures de demain, France
10 publications · 967 citations
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Jiangsu University
Zhenjiang, China
23 h-index
162 publications
5.9K citations

Zhejiang University
Hangzhou, China
19 h-index
70 publications
4K citations

Centre National de la Recherche Scientifique
Paris, France
18 h-index
86 publications
4.2K citations

Chinese Academy of Sciences
Beijing, China
17 h-index
182 publications
33.7K citations
China Agricultural University
Beijing, China
15 h-index
46 publications
1.4K citations

Agricultural Research Service
Washington, United States
15 h-index
47 publications
2.5K citations

Norwegian University of Life Sciences
Ås, Norway
12 h-index
47 publications
2.9K citations
Wageningen University & Research
Wageningen, The Netherlands
12 h-index
15 publications
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