Classification of Sound and Stained Wheat Grains Using Visible and near Infrared Hyperspectral Image Analysis

By M. Berman, P. Connor, L. Whitbourn, D. Coward, B. G. Osborne, M. D. Southan. 2007

73 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/46f24e5f605ec475d96706946b45cbf1ffeb98b9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Stephen R. Delwiche
2. D. Saha
3. Annamalai Manickavasagan

In Molecular Biology

1. R. Graybosch

Citations in the corpus

• Estimating percentages of fusarium-damaged kernels in hard wheat by near-infrared hyperspectral imaging (2019, background): “, 2007), wheat kernel discoloration (black point, field fungi, or pink stain) of Australian wheat kernels (Berman et al., 2007), classification of bulk samples of western Canadian wheat (Mahesh et al.”
• Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches (2012, unknown): “They have also been used in food safety [14]–[17], pharmaceutical process monitoring and quality control [18]–[22], and biomedical, industrial, and biometric, and forensic applications [23]–[27].”