Camera Trap Project Manual: Wildlife Monitoring in African Tropical Forests with DeepForestVision
Abstract
Field deployment, data management, and offline AI-assisted labelling using DeepForestVision (https://besjournals.onlinelibrary.wiley.com/doi/10.1002/2688-8319.70167) and AddaxAI (https://addaxdatascience.com/addaxai/). This manual provides practical guidance for camera trapping in African tropical forests, including AI-assisted labelling using DeepForestVision. Rather than aiming for exhaustive coverage, it compiles best practices and field-tested tips from real-world projects to help users design protocols and streamline data processing.DeepForestVision is developed as part of the One Forest Vision Initiative3, which supports tropical countries in protecting forests and wetlands by enabling transparent monitoring of forest degradation, carbon stocks, and biodiversity.
Fields of Study & Subjects
Wildlife Ecology and Conservation
Environmental DNA in Biodiversity Studies
Conservation
Biodiversity
and Resource Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN