Call for Papers: Special Session on AI in Environmental, Conservation and Geospatial Applications, ICONIP 2024

AI in Environmental, Conservation and Geospatial Applications

Artificial intelligence (AI) offers promising solutions to critical environmental challenges, including climate change modelling, energy efficiency improvement, landscape erosion prediction, invasive species management, and endangered species conservation. In this context, computer vision techniques, particularly Convolutional Neural Networks (CNNs), play a pivotal role. These deep learning models enable us to extract meaningful information from geospatial data, satellite imagery, and environmental sensor networks. Geospatial data, often integrated with computer vision, provides insights for informed decision-making.

This special session is intended to attract papers dealing with the intersection between artificial intelligence and environmental issues.

Topics of interest include, but are not limited to:

• Methods in the modelling of climate change and its effects
• Predictive modelling of climate change impacts
• Analyzing satellite imagery, LiDAR data, and other remote sensing sources
• Habitat modeling and ecological niche analysis.
• AI-driven species identification and tracking.
• Conservation planning using machine learning algorithms
• AI-driven approaches for biodiversity assessment
• Remote sensing and geospatial analytics for environmental preservation
• Precision farming techniques in crop yield prediction
• Soil health assessment through AI techniques
• Water resource management using machine learning
• Geospatial data fusion for disaster management
• Land cover classification, environmental monitoring

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Links

Main conference site: https://iconip2024.org/

Important Dates

Paper Submission Deadline: 7 June 2024

Notification of Acceptance: 26 July 2024

Camera Ready Submission: 30 August 2024

Registration Deadline: 30 August 2024

Conference Dates: 2-6 December 2024

Organisers

Akbar Ghobakhlou, AUT University

Jacqui Whalley, AUT University

Mike Watts Media Design School

Asli Tece Bayrak, Media Design School