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adulteration_dataset_26_08_2021.csv (12.64 MB)
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DatasetDescriptionAdulteration.pdf (267.49 kB)
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Hyperspectral Imaging adulterated honey dataset

dataset
posted on 2021-08-26, 03:13 authored by Tessa PhillipsTessa Phillips, Bradley Coleman, Shunji Takano, Waleed AbdullaWaleed Abdulla

This a spreadsheet of features extracted from hyperspectral images of adulterated New Zealand honey. The images of adulterated honey have been captured with a hyperspectral imager SOC-710 from Surface Optic. The hypercubes captured are between 400 - 1000nm in wavelength with a 5nm increment and have a 520 x 696 spatial resolution.

The system used to capture these images has been developed using rigorous testing and evaluation to create a standard for the hyperspectral imagery capture of honey.

The dataset comprises the features (128 spectral bands) of the hyperspectral images after a well-designed procedure for calibration, pre-processing and segmentation. This process produces a consistent dataset through all trials, so the work produced is comparable. There are six acquisitions of each adulterated honey sample; these are then captured by the hyperspectral imagery and calibrated, pre-processed and segmented to get the final spectral information.

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University of Auckland