The 20th UU-A International Symposium Series: “The potential of optical biosensors in bridging the diagnostic gap in LMIC “
On Air
Subject | Engineering
Building a Comprehensive Plastic Waste Observation Network from Towns to Coasts Through AI and Remote Sensing
- Palastic marine pollution
- Remote sensing
- Image processing
- Deep learning
- Macro/Micro plastic
This presentation describes an attempt to solve one of the most serious global environmental problems, marine plastic pollution, by integrating remote sensing and various machine learning technologies, including the latest deep learning. The goal of these studies is to make science-based environmental policy recommendations, thereby drastically reducing the time and personnel costs that researchers and local governments previously spent surveying coastal and urban areas. In addition, we will present an approach that encourages citizens to reduce their consumption and disposal of plastics by helping to improve their environmental literacy.
©Kagoshima University. Last Update 2024-12-24
Content／学習内容
Staff／スタッフ
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- Teacher
Shin'ichiro KakoProfessor, Kagoshima UniversityPh.D. Engineering
