Peter Skelsey

Research Leader
Information and Computational Sciences
T: +44 (0)1382 568913
I am a plant disease epidemiologist specialising in data mining, machine learning, ArcGIS, simulation modelling, and the development of decision support tools for agriculture. I have several roles under the Scottish Government Strategic Research Programme 2022-2027: Lead of Topic Line A1 (Plant Disease), institute Lead of Theme A (Plant & Animal Disease), and Lead PI for project JHI-A1-1 on plant disease epidemiology.
  • Developing new epidemic theory on the spread of pests and diseases.
  • Building decision support tools for crop pests and pathogens.
  • I am a key staff member leading Integrated Pest and Disease Management (IPM) research at the James Hutton Institute. For details of ongoing IPM research areas and projects, please visit the IPM@hutton website.

 

Grants and awards

  • 2025-2026: Principal Investigator – ‘PCN-ML: Developing new models to predict PCN species presence / absence in Scottish soils’ – Plant Health Centre.
  • 2024-2025: Principal Investigator – ‘Accurate potato virus forecasts: developing new models to guide sustainable management of potato crops in Scotland’ – Plant Health Centre.
  • 2022-2027: Principal Investigator – ‘Understanding the principal drivers of pest and disease incidence, severity, and spread in Scotland, and the factors currently limiting effective disease control’ – Scottish Government RESAS.
  • 2021-2023: Principal Investigator – ‘Machine-Cast: A scalable machine learning framework for forecasting risk of crop pests and pathogens’ – Innovate UK.
  • 2021-2022: Principal Investigator – ‘Modelling the spread of PCN in Scotland to identify the key factors responsible and the most appropriate management options for future mitigation’ – Plant Health Centre.
  • 2020-2023: Investigator – ‘Building a Decision Support Tool for Potato Blackleg Disease (DeS-BL)’ – BBSRC.
  • 2018-2022: Principal Investigator – ‘Applications of machine learning to identify drivers of Phytophthora infestans population diversity’ – Mylnefield Trust.
  • 2018-2022: Principal Investigator – ‘Applications of machine learning to precision potato blackleg prediction’ – AHDB Potatoes.
  • 2017-2019: Principal Investigator – ‘Spatiotemporal analyses of potato late blight outbreaks in Great Britain’ – AHDB Potatoes.
  • 2015-2018: Investigator – ‘Optimised detection and control of potato blight: sensing pathogens to inform smart spray decisions’ – Innovate UK.
  • 2015-2018: Investigator – ‘BLIGHTSENSE: Development of a rapid biosensor system for in-field detection of potato late blight pathogens’ – Innovate UK.
  • 2014-2016: Principal Investigator – ‘Improved epidemic management using sophisticated models of infection and spread’ – AHDB/PCL.
  • 2014-2015: Investigator – ‘CropForecast’ – Technology Strategy Board: Solving business problems with environmental data.
  • 2013-2016: Investigator – ‘Strategies for integrated deployment of host resistance and fungicides to sustain effective crop protection’ – BBSRC.
  • 2013-2016: Investigator – ‘An investigation into the routes of blackleg contamination of high grade potato seed stocks by Pectobacterium species and the effects of sulphuric acid treatment on pathogen spread’ – AHDB/PCL.
  • 2013-2015: Principal Investigator – ‘Future environmental and geographic risks of key crop pests and pathogens in Scotland’ – ClimateXChange.

Past research

  • Kansas State University, USA, 2009-2012. Research Associate. Department of Plant Pathology / Division of Biology:
  • Wageningen University, The Netherlands, 2009. PhD in Epidemiology. Dissertation: ‘Multi-scale modeling of potato late blight epidemics.’
  • Wageningen University, The Netherlands, 2003. Marie-Curie Research Fellowship in Epidemiology.
  • Edinburgh University, Scotland, UK, 2002.BTechnol. (Hons) In Environmental Protection and Management.

Journals

Books / chapters

Technical / contract reports

Conference papers

Conference posters / abstracts