Assessment of honey bee colony health using computer vision and machine learning

Abstract

The decline in biodiversity threatens food-security and the quality of life of all living beings. The decline in the number of insects (bees) is a critical phenomenon that should be looked deeply into. Computer Vision and Machine Learning techniques can be proposed as a solution to this problem. I used various techniques like Mask-RCNN, Faster-RCNN and Domain-Adaptive Faster-RCNN on the Apis Mellifera Bees (Western Honey Bee) to assess the health of honey bee colonies.