Saving the Indian Ocean: Plastic Pollution Assessment and Monitoring Along the Tana River
Keywords:
Plastic pollution prevention and reduction, Transformer-based models, Object detection models, Kenyan coastline, Computer vision, Indian Ocean, Marine and aquatic life, Marine litter and debris, Deep learning, YOLOv5 PyTorch, Plastic trash, Machine visionAbstract
In this presentation, the speaker describes novel data-driven approaches to identify, quantify, monitor and remove subsurface marine litter and plastic from Kenyan rivers, oceans and waterways. The speaker will share their own experiences and findings implementing a machine learning system with a 73% mean-average precision to support the United Nations Environment Programme (UNEP) efforts to monitor in real-time the plastic leakage into the Tana River and provide an accurate and expedited approach to cleaning up missions.
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Published
2023-08-24
How to Cite
Wangari, K. K. (2023). Saving the Indian Ocean: Plastic Pollution Assessment and Monitoring Along the Tana River. Data Science and Artificial Intelligence. Retrieved from https://conferences.kabarak.ac.ke/index.php/dsai/article/view/15
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Sub-theme
Artificial Intelligence
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Copyright (c) 2023 Kennedy Kamande Wangari
This work is licensed under a Creative Commons Attribution 4.0 International License.
