Identification of aflatoxin B1 on maize kernel surfaces using hyperspectral imaging

By Wei Wang, G. Heitschmidt, Xinzhi Ni, W. R. Windham, S. Hawkins, X. Chu. 2014

88 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Plant Science

View Paper: https://www.semanticscholar.org/paper/2a0a3ef99c9b8492e85188be0d53d9a580b4098a

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. Wei Wang
2. Xinzhi Ni
3. Anguo Xie

In Biophysics

1. Wei Wang
2. Xinzhi Ni

In Plant Science

1. Wei Wang

Citations in the corpus

• Utilisation of visible/near-infrared hyperspectral images to classify aflatoxin B1 contaminated maize kernels (2018, methodology): “In addition, before the experiment, several randomly selected representative kernels from each maize variety were tested with high performance liquid chromatography (HPLC) to make sure that there were no pre-existing natural toxins (Wang et al., 2014).”
• Non-Destructive Prediction of Moisture Content and Freezable Water Content of Purple-Fleshed Sweet Potato Slices during Drying Process Using Hyperspectral Imaging Technique (2017, methodology): “Then the reflectance spectral data within each ROI were extracted and calculated, and the obtained spectral data from two side of the samples were averaged as the spectra of the whole sample (Wang et al. 2014.”