1. Raman Spectroscopy in Agriculture: An Interview with Dmitry Kurouski
- Author
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Lavery, Patrick
- Subjects
Raman spectroscopy ,Agricultural industry ,Agriculture ,Crop yields ,Machine learning ,Biomedical engineering ,Chemistry ,Engineering and manufacturing industries ,Physics ,Science and technology - Abstract
Dmitry Kurouski, an associate professor of biomedical engineering in the department of Biochemistry and Biophysics at Texas A&M University in College Station, Texas, USA, recently spoke to Spectroscopy about Raman spectroscopy's role in determining crop yield of key food items as the world population continues to increase. His paper on the subject, 'Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming,' co-authored by student Charles Farber, appeared in the journal Frontiers in Plant Science in April 2022 (1). The following is transcribed from an online video interview between Spectroscopy and Kurouski in January 2024 with the assistance of artificial intelligence (AI) software, and has been lightly edited for length and clarity., Please briefly summarize the problem you were examining in this study and its implications in real-world applications. At its heart, the concern here is the issue of crop yield, as [...]
- Published
- 2024