Individual honey bee tracking in a beehive environment using deep learning and Kalman filter.

ABSTRACT: The honey bee is the most essential pollinator and a key contributor to the natural ecosystem. There are numerous ways for thousands of bees in a hive to communicate with one another. Individual trajectories and social interactions are thus complex behavioral features that can provide valuable information for an ecological study. To study honey bee behavior, the key challenges that have resulted from unreliable studies include complexity (high density of similar objects, small objects, and occlusion), the variety of background scenes, the dynamism of individual bee movements, and the similarity between the bee body and the background in the beehive. This study investigated the tracking of individual bees in a beehive environment using a deep learning approach and a Kalman filter. Detection

SUBMITTER: Kongsilp P 

PROVIDER: S-EPMC10784501 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature