Application of Hyperspectral Imaging to Discriminate the Variety of Maize Seeds

By Lu Wang, Da‐Wen Sun, Hongbin Pu, Zhiwei Zhu. Food Analytical Methods, 2015

81 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Plant Science

View Paper: https://www.semanticscholar.org/paper/78e63faa6954545ab6b1cef5672a5640a5b10644

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. Anne Humeau-Heurtier
2. M. Whitworth
3. Nicola Caporaso
4. Ian D Fisk

In Biophysics

1. Anne Humeau-Heurtier
2. M. Whitworth
3. Nicola Caporaso
4. Ian D Fisk

In Plant Science

1. Anne Humeau-Heurtier

Citations in the corpus

• Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis (2019, methodology): “, (2018), while using the short-wave HSI technique to classify maize seed varieties [7,11,13].”
• Texture Feature Extraction Methods: A Survey (2019, methodology): “In other fields of applications, GLRLM has been used for the automated recognition of drill core textures [10] and to classify different varieties of maize seeds [35].”
• Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains (2018, background): “A recent paper reported the use of HSI for variety discrimination of maize kernels between waxy and sweet maize (71).”