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Arbimon is an acoustic monitoring tool designed to support biodiversity research and environmental conservation efforts by analyzing soundscape data. The app enables users to collect, visualize, and interpret audio recordings from natural habitats, facilitating the identification of various species such as birds, frogs, mammals, and insects through their vocalizations.
Key features of Arbimon include automated species recognition using ecoacoustics and artificial intelligence, detailed soundscape analysis, and the ability to monitor changes in habitat use and biodiversity over time. By processing acoustic data, the app helps researchers and conservationists assess ecosystem health, track wildlife presence, and evaluate the effectiveness of habitat restoration projects.
With capabilities for managing large-scale environmental audio datasets, Arbimon supports spatial and temporal analysis of biodiversity patterns. This functionality aids in understanding the distribution of fauna across different land cover types and contributes valuable insights into conservation planning and ecological monitoring.
Arbimon integrates cutting-edge acoustic monitoring technology with user-friendly data visualization tools, providing a structured platform for scientific analysis of wildlife sound recordings. It is a resource used in projects aiming to track biodiversity recovery, assess habitat quality, and inform conservation strategies without requiring extensive manual data processing.
This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.
Website: arbimon.org
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