Project cooperationUpdated on 7 April 2025
Biodiversity and ecosystem services -BIODIV-04
Professor of Computer Science, Faculty Lead for AI,Digital and Cyber Physics Systems Theme at Manchester Metropolitan University
Manchester, United Kingdom
About
Project/Technology/Expertise Offered
We offer a proven AI- and Big Data-driven platform for large-scale biodiversity monitoring and decision support, integrating UAV, IoT, and satellite data with advanced AI models for multi-source, multi-scale environmental observation and analysis. Our expertise lies in the fusion of in situ sensor networks with AI-enabled analytics to track biodiversity trends, identify ecological drivers, and assess the effectiveness of conservation policies. Our technology has been applied across sectors such as in precision agriculture, and is aligned with international frameworks such as GEO BON and the EU Biodiversity Strategy for 2030.
Role in the Consortium
We seek to contribute as a technology and analytics partner, responsible for:
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Designing and deploying AI models for biodiversity pattern detection and trend forecasting
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Integrating heterogeneous sensor and Earth observation data into an interoperable platform
Stage
- Early stage
Type
- Partner looking for consortium
Organisation
Similar opportunities
Project cooperation
- Early stage
- Partner looking for consortium
Liangxiu Han
Professor of Computer Science, Faculty Lead for AI,Digital and Cyber Physics Systems Theme at Manchester Metropolitan University
Manchester, United Kingdom
Project cooperation
Advancing European Taxonomic for Biodiversity Conservation (BioTax-EU)
- Early stage
- Coordinator looking for partners
Magdalena JASKIEWICZ
Founder & Owner at Centrum Transferu Technologii – INNOVATIONS Sp. z o.o.
Warsaw, Poland
Project cooperation
- Early stage
- Partner looking for consortium
- Coordinator looking for partners
Liangxiu Han
Professor of Computer Science, Faculty Lead for AI,Digital and Cyber Physics Systems Theme at Manchester Metropolitan University
Manchester, United Kingdom