Dataset of Near Infrared Spectroscopy Measurements for Brassica napus
Author Information
Author(s): Rolland Sophie, Leprince Françoise, Guichard Solenn, Cahérec Françoise Le, Laperche Anne, Nesi Nathalie
Primary Institution: IGEPP, INRAE, Institut Agro, Université de Rennes
Hypothesis
Can near infrared spectroscopy accurately predict nitrogen and carbon contents in Brassica napus tissues?
Conclusion
The dataset provides predictive models that can accurately estimate nitrogen and carbon contents in Brassica napus tissues using near infrared spectroscopy.
Supporting Evidence
- The dataset links spectral properties to chemical composition of plant tissues.
- Models can be improved by adding new spectral data.
- Calibration models can be transferred to other NIRS instruments.
- The dataset can be used for testing new methods and training.
Takeaway
Scientists can use this dataset to quickly find out how much nitrogen and carbon is in different parts of a plant without doing complicated tests.
Methodology
Near infrared spectroscopy was used to analyze 2427 samples of Brassica napus tissues, with nitrogen and carbon contents determined by the Dumas method.
Digital Object Identifier (DOI)
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