Invasive Specie
Invasive species pose a significant threat to global biodiversity and economies, prompting research into effective detection and management strategies. Current research focuses on developing automated detection systems using computer vision, employing deep learning models like vision transformers and convolutional neural networks trained on large, curated datasets of invasive species imagery, often collected via drones. These advancements, along with improved predictive models incorporating factors like shipping traffic and environmental conditions, aim to enhance early detection, risk assessment, and ultimately, the control of invasive species.
Papers
September 18, 2024
June 28, 2024
June 3, 2024
May 2, 2024
January 23, 2024
September 25, 2023
May 16, 2023
July 12, 2022