Environment and Agriculture

An aerial shot of fields next to woodland

The focus of the Environment and Agriculture Theme is to apply advanced data collection and analysis methods to address environmental grand challenges, covering precision agriculture to various environmental applications. We have cross-disciplinary expertise in developing machine learning and AI, spatial and space-time statistics, and data fusion techniques for geospatial science and remote sensing.

Theme Leader

Uraz Turker

Dr Uraz Turker FHEA

Lecturer in Computer Science

Artificial Intelligence, 快播视频 Intelligent, Robotic and Autonomous Systems Centre, LIRA - Fundamentals, LIRA - Security and Defence, SCC (Software Engineering), Security 快播视频, Security 快播视频 (Distributed Systems), Security 快播视频 (Secure Machine Learning and Intelligence), Security 快播视频 (Software Security), Security 快播视频 (Systems Security)

Members

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Publications

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Projects

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  • 01/02/2022 → 01/08/2025
    Research

  • 01/02/2022 → 01/12/2024
    Research

  • 01/11/2020 → 01/11/2022
    Research

  • 31/01/2020 → 16/09/2024
    Research

  • 01/01/2020 → 31/03/2021
    Research

  • 01/10/2019 → 31/03/2026
    Research