Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Honey Authentication with Machine Learning Augmented Bright-Field
  Microscopy   Honey has been collected and used by humankind as both a food and medicine
for thousands of years. However, in the modern economy, honey has become
subject to mislabelling and adulteration making it the third most faked food
product in the world. The international scale of fraudulent honey has had both
economic and environmental ramifications. In this paper, we propose a novel
method of identifying fraudulent honey using machine learning augmented
microscopy.

21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
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The categories of this paper are: supr-con
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The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph