Applications of data analytics and machine learning for digital twin-based precision biodiversity: a review

• Main Authors: Mohd Sharef, Nurfadhlina, Nasharuddin, Nurul Amelina, Mohamed, Raihani, Zamani, Nabila Wardah, Osman, Mohd Hafeez, Yaakob, Razali
• Format: Conference or Workshop Item
• Published: IEEE 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/37816/; https://ieeexplore.ieee.org/document/10055149

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...