Home ›
Entities
› academia
› Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming
Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming
Research article (Frontiers in Plant Science, 2022) · cited 27× · AI/ML
Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming
Summary
Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming is a scholarly article[1].
Key Facts
Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming. Retrieved May 24, 2026, from https://4ort.xyz/entity/raman-spectroscopy-and-machine-learning-for-agricultural-applications-chemometric-assessment-of-spectroscopic-signatures
MLA“Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/raman-spectroscopy-and-machine-learning-for-agricultural-applications-chemometric-assessment-of-spectroscopic-signatures.
BibTeX@misc{4ortxyz_raman-spectroscopy-and-machine-learning-for-agricultural-applications-chemometric-assessment-of-spectroscopic-signatures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming}}, year = {2026}, url = {https://4ort.xyz/entity/raman-spectroscopy-and-machine-learning-for-agricultural-applications-chemometric-assessment-of-spectroscopic-signatures}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming — https://4ort.xyz/entity/raman-spectroscopy-and-machine-learning-for-agricultural-applications-chemometric-assessment-of-spectroscopic-signatures (retrieved 2026-05-24)