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February 2025
Enhancing pollinator conservation: Monitoring of bees through object recognition
Computers and Electronics in Agriculture (COEA), Volume 228, Issue Chttps://doi.org/10.1016/j.compag.2024.109665
Abstract
In an era of rapid climate change and its adverse effects on food production, technological intervention to monitor pollinator conservation is of paramount importance for environmental monitoring and conservation for global food security. The ...
Highlights

Novel dataset of 9,664 bee images is collected, labelled and released open source.
YOLOv5 m model achieves 85.6% [email protected], real-time inference of 8.1 ms per video frame.
YOLOv5s model achieves 84.6% [email protected], real-time inference of ...
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