Artikel ; Online: Measurement of nitrogen content in rice plant using near infrared spectroscopy combined with different PLS algorithms.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
2022 Band 284, Seite(n) 121733
Abstract: Nitrogen plays an important role in rice growth, and determination of nitrogen content in rice plants is of great significance in assessing plant nutritional status and allowing precision cultivation. Traditional chemical methods for determining nitrogen ...
Abstract | Nitrogen plays an important role in rice growth, and determination of nitrogen content in rice plants is of great significance in assessing plant nutritional status and allowing precision cultivation. Traditional chemical methods for determining nitrogen content have the disadvantages of destructive sampling and lengthy analysis times. Here, the feasibility of rapid nitrogen content analysis by near-infrared (NIR) spectroscopy of rice plants was studied. Spectral data from 447 rice samples at several growth stages were used to establish a predictive model. Different spectral preprocessing methods and characteristic selection methods were compared, such as interval partial least-squares (iPLS), synergy interval partial least-squares (SiPLS), and moving-window partial least-squares (mwPLS). The SiPLS method exhibited better performance than mwPLS or iPLS. Specifically, the combination of four subintervals (7, 26, 27, and 28), with characteristic bands at 5299-4451 cm |
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Mesh-Begriff(e) | Algorithms ; Least-Squares Analysis ; Nitrogen ; Oryza/chemistry ; Spectroscopy, Near-Infrared/methods |
Chemische Substanzen | Nitrogen (N762921K75) |
Sprache | Englisch |
Erscheinungsdatum | 2022-08-09 |
Erscheinungsland | England |
Dokumenttyp | Journal Article |
ZDB-ID | 210413-1 |
ISSN | 1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425 |
ISSN (online) | 1873-3557 |
ISSN | 0370-8322 ; 0584-8539 ; 1386-1425 |
DOI | 10.1016/j.saa.2022.121733 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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