Unlocking the Potential of Wind Energy With Machine Learning-Based Avian Detection: A Call to Action

Abstract

This systematic literature review explores the potential of machine learning-based approaches to detect and prevent bird collisions with wind turbines. It provides a comprehensive review of the current approaches and identifies critical gaps in the literature, which may serve as the groundwork for future research and development in this area. As a result, this work highlights the importance of inter- and transdisciplinary cooperations.