This paper describes the early phase of a framework being developed to identify infestation levels of pests and parasites of the Western Honey Bee. Image processing techniques and two classical machine learning algorithms have been used to examine close-up images of the material falling on a varroa board beneath the mesh floor of a bee hive and identify Varroa Destructor mites versus other debris to a high level of accuracy.
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