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Project cooperationUpdated on 7 April 2025

Biodiversity and ecosystem services -BIODIV-04

Liangxiu Han

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:

  • Designing and deploying AI models for biodiversity pattern detection and trend forecasting

  • Integrating heterogeneous sensor and Earth observation data into an interoperable platform

Stage

  • Early stage

Type

  • Partner looking for consortium

Organisation

Manchester Metropolitan University

R&D Institution

Manchester, United Kingdom

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