AI4WildLIVE: Integrating Biodiversity Monitoring and Earth Observation

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Abstract
Growing numbers of biodiversity monitoring data recorded by camera trap devices are becoming increasingly difficult to manage and analyze. The WildLIVE platform is being developed to address these challenges by providing a comprehensive virtual research environment (VRE) that integrates citizen science, machine learning-based annotation, and geo-analysis functionality. Additionally, it serves as a centralized platform for FAIR (Findable, Accessible, Interoperable, and Reusable) data sharing. This paper presents the core concepts of the WildLIVE platform and its underlying data model, highlighting its potential to streamline biodiversity research and enhance data accessibility.

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