GREEN-PR is a workshop organized in conjunction with the IEEE International Conference on Pattern Recognition (ICPR - website), and supported by the International Association for Pattern Recognition (IAPR - website). 

This event, organized on August 21 2026 in Lyon, aims to group researchers working on more sustainable approaches in pattern recognition and/or recent developments of pattern recognition contributions in environmental applications.

We cover the following topics, without being exhaustive:

Sustainable Pattern Recognition

• Energy-efficient and low-carbon pattern recognition methods
• Green AI and sustainable machine learning for pattern recognition
• Model compression, pruning, quantization, and efficient architectures
• Resource-aware learning (computation, memory, energy)
• Life-cycle assessment of pattern recognition and AI systems
• Benchmarking and metrics for sustainability in pattern recognition
• Sustainable data acquisition, annotation, and management
• Federated, distributed, and edge learning for sustainable PR
• Responsible and environmentally conscious AI methodologies

Pattern Recognition for Environment

• Pattern recognition for environmental monitoring and protection
• Remote sensing, satellite and aerial imagery analysis
• Biodiversity monitoring and species recognition
• Climate, weather, and environmental data analysis
• Pattern recognition for pollution detection and assessment
• Earth observation and geospatial data analysis
• Environmental change detection and long-term monitoring
• Pattern recognition for natural hazards and disaster management
• AI for agriculture, forestry, and ecosystem management

Cross-Cutting Topics

• Sustainability-aware benchmarks and datasets
• Explainable and trustworthy pattern recognition for environmental applications
• Ethical, societal, and policy aspects of sustainable PR
• Case studies and real-world deployments
• Interdisciplinary approaches combining pattern recognition, environmental science, and sustainability