Applications of data analytics and machine learning for digital twin-based precision biodiversity: a review
Biodiversity projections and model evaluation are essential to inform future formulation of biodiversity policy. These could be supported by data analytics and machine learning approaches, as well as precision technologies. However, existing works are segregated by the selection of species under-stu...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/37816/ https://ieeexplore.ieee.org/document/10055149 |
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