Honeybees are one of the most important pollinators and crucial for our survival on earth. In
recent years, bee colonies have been under continuous threat of the parasitic mite varroa
destructor. Designing an efficient system to detect varroa infestation has been a formidable
challenge and a topic of intense inter-est among academics. To develop a robust deep
neural network classification model, high-quality and comprehensive image data is required.
Collecting and preparing such data is laborious, time-consuming and expensive in a …

RESEARCH QUESTIONS:[Are standard images classified accurately using Convolutional
Neural Network (CNN) or transfer learning method?] Can varroa destructor mite be identified
correctly from a small number of low-quality honeybee images? ABSTRACT: Artificial
Intelligence (AI) solutions have been extensively explored and implemented in the
apiculture industry. Designing an efficient system for continuous observation of bees for their
health and activities has been a challenge and of great interest among researchers. Several …