Advancing social insect research through the development of an automated yellowjacket nest activity monitoring station using deep learning
We describe the development and validation of an autonomous monitoring station that identifies and records the movement of social insects into and out of the colony. The hardware consists of an illuminated channel and a fixed camera to capture the wasps' activities. An ad hoc post-processing softwar...
| Main Authors: | , , , , , |
|---|---|
| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
| Published: |
Wiley
2024
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/18525 https://resjournals.onlinelibrary.wiley.com/doi/10.1111/afe.12638 https://doi.org/10.1111/afe.12638 |
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