Leveraging Acoustic Monitoring and AI for Comprehensive Biodiversity Assessment in Zimbabwe
Keywords: Deforestation impact; Conservation technology; Bioacoustic indices; Real-time monitoring; AI-based ecological tools
TL;DR: AI-powered acoustic monitoring was used to assess biodiversity in Zimbabwe. A new index (ABI) combining species richness, evenness, and stability was developed, offering a scalable, non-invasive method for conservation monitoring.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 285
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