Characterising corn grain using infrared imaging and spectroscopic techniques: a review
Author:
Funder
Barrett Family Foundation
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science
Link
https://link.springer.com/content/pdf/10.1007/s11694-021-00898-7.pdf
Reference62 articles.
1. L.E. Agelet, D.D. Ellis, S. Duvick, A.S. Goggi, C.R. Hurburgh, C.A. Gardner, Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels. J. Cereal Sci. 55(2), 160–165 (2012)
2. A. Ambrose, L.M. Kandpal, M.S. Kim, W.H. Lee, B.K. Cho, High speed measurement of corn seed viability using hyperspectral imaging. Infrared Phys. Technol. 75, 173–179 (2016)
3. A. Ambrose, S. Lohumi, W.H. Lee, B.K. Cho, Comparative nondestructive measurement of corn seed viability using Fourier transform near-infrared (FT-NIR) and Raman spectroscopy. Sens. Actuators B Chem. 224, 500–506 (2016). https://doi.org/10.1016/j.snb.2015.10.082
4. Bach, H., ed. By Giovanna Cecchi, Torsten Lamp, Rainer Reuter, Konradin Weber, Yield estimation of corn with multispectral data and the potential of using imaging spectrometers. In Remote Sensing of Vegetation and Water, and Standardization of Remote Sensing Methods (Vol. 3107, pp. 15–23). International Society for Optics and Photonics. (1997). https://doi.org/10.1117/12.274731
5. T.M. Baye, T.C. Pearson, A.M. Settles, Development of a calibration to predict maize seed composition using single kernel near infrared spectroscopy. J. Cereal Sci. 43(2), 236–243 (2006)
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