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Spectroscopy in Agriculture: An Interview with Dmitry Kurouski
Author(s):
Dmitry Kurouski of Texas A&M University speaks to Spectroscopy Editor Patrick Lavery about Raman spectroscopy's role in determining crop yield of key food items as the world population continues to increase.
Reference
(1) Farber, C.; Kurouski, D. Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming. Front. Plant. Sci. 2022, 13, 887511. DOI: 10.3389/fpls.2022.887511
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