JVCampus
JVCampus

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
Enroll（Free registration）
©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

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

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