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This project proposes the use of satellite images and Geographic Information System (GIS) data to identify elephant habitats and elephant corridors and their deterioration. Then to apply an Agent Based Modelling to model elephant behavior with relation to decaying forest cover and increasing human development.

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Using Computer Vision and Agent-Based Modelling to explore the Human-Elephant conflict


Human-Elephant conflict is one of the major identifiable problems in Sri Lanka. As a result of deforestation and urbanisation, elephants are being squeezed into smaller and smaller areas. Due to this matter, conflicts between humans and elephants are increasing daily. This is a threat to both human lives and to the conservation of the wild elephants. Several traditional strategies have been imposed to prevent this since the early days but they do not seem to reduce the conflict. Because these traditional strategies do not consider elephant habitats and their behaviours.

The aim of this project is to use Artificial Intelligence computer-based technologies to prevent human-elephant conflicts by giving necessary warnings.

Team

  • E/16/057, Chamith U.K.D.K, email
  • E/16/076, Deshan L.A.C, email
  • E/16/368, Thisanke M.K.H, email

Supervisors

  • Dr. Damayanthi Herath, email
  • Dr. Sachith Seneviratne, email
  • Dr. Rajith Vidanaarachchi, email

About

This project proposes the use of satellite images and Geographic Information System (GIS) data to identify elephant habitats and elephant corridors and their deterioration. Then to apply an Agent Based Modelling to model elephant behavior with relation to decaying forest cover and increasing human development.

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  • Jupyter Notebook 88.6%
  • Python 11.4%