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Detection of bird nests using deep learning to support annual colonial bird monitoring efforts within Biscayne National Park

FIU GIS Center > Detection of bird nests using deep learning to support annual colonial bird monitoring efforts within Biscayne National Park

Detection of bird nests using deep learning to support annual colonial bird monitoring efforts within Biscayne National Park

Project Name: Detection of bird nests using deep learning to support annual colonial bird monitoring efforts within Biscayne National Park

Project Link: TBD

Funding Agency: National Park Service

People: Levente Juhász (PI), Boyuan (Keven) Guan (Co-PI)


We are excited to announce our research project aimed at developing an innovative machine learning model for the detection of bird nests in images. These nests serve as vital indicators of aquatic ecosystem health in the Biscayne National Park. By harnessing the power of computer vision algorithms, we will create object detection models capable of identifying potential bird nests efficiently and accurately. This project is pivotal for streamlining the monitoring of bird colonies and their populations, reducing human effort, and ensuring consistency in data collection over time.

This research initiative, in collaboration with the National Park Service, will revolutionize the way we monitor and conserve our ecosystems. Together, we will pave the way for more efficient and accurate ecological assessments. Stay tuned for updates on our progress and outcomes! 🌍🔬 #EcosystemHealth #BirdNestDetection #ConservationEfforts

Date

November 19, 2023

Category

AI / GeoAI, Ecosystems

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