Enhancing Wildlife Classification Accuracy in Camera Trap Images Using GIS-Enhanced Federated Machine Learning Approaches
Date:
This talk presents novel approaches to improving wildlife classification accuracy in camera trap images by leveraging GIS-enhanced federated machine learning techniques. We discuss the integration of spatial data with distributed learning frameworks to address data privacy, heterogeneity, and scalability challenges in ecological monitoring.
Presented at the AAG 2024 Annual Meeting, Honolulu, Hawaii, United States (04/2024).