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.
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Theme Leader
Dr Uraz Turker
Lecturer in Computer ScienceArtificial Intelligence, Lancaster Intelligent, Robotic and Autonomous Systems Centre, LIRA - Fundamentals, LIRA - Security and Defence, SCC (Software Engineering), Security Lancaster, Security Lancaster (Distributed Systems), Security Lancaster (Secure Machine Learning and Intelligence), Security Lancaster (Software Security), Security Lancaster (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