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

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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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Bibliographic Details
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/

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