Building a Comprehensive Plastic Waste Observation Network from Towns to Coasts Through AI and Remote Sensing

Subject | Engineering

Learning

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.

Target
Bachelor, Master, Doctor, General, High school
Language
English
Caption
English
Lecture time
45-60min.
Start month
Anytime
Length
No setting
Delivery method
Ondemand

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©Kagoshima University. Last Update 2024-12-24

Content

学習内容
Staff

スタッフ
Competency

コンピテンシー
Related Contents

関連コンテンツ

Content／学習内容

Introduction to plastic marine pollution
- Lecture video
Use of drone for plastic monitoring on beaches
- Lecture video
Using webcams and a smartphone-based application for plastic waste monitoring
- Lecture video

Staff／スタッフ

- Teacher
Shin'ichiro Kako

Professor, Kagoshima University

Ph.D. Engineering

Competency／コンピテンシー

Learning Goal

Explain the current status of plastic pollution in the ocean
Explain the advantages and problems of various remote sensing and artificial intelligence technologies
Explain what is needed to move away from a plastic society