Award details

Ultrarapid real-time diagnostic tool of plant disease infection adapted for field deployment

Reference	BB/V017284/1
Principal Investigator / Supervisor	Professor Ian Fisk
Co-Investigators / Co-Supervisors	Dr John Caulfield, Dr Jozsef vuts
Institution	University of Nottingham
Department	Sch of Biosciences
Funding type	Research
Value (£)	151,352
Status	Current
Type	Research Grant
Start date	15/03/2022
End date	14/09/2023
Duration	18 months

Abstract

This project uniquely brings together ultra-rapid imaging, chemical mapping and volatilome profiling to detect and diagnose plant pest insects and pathogens in real time, at a previously unavailable level of detail. Furthermore, we will develop proof-of-concept non-destructive diagnostic tools adapted for field deployment for the efficient real time, in-field detection of plant pathogens and insect damage that limit crop yields in the UK.

Summary

We will develop a rapid non-destructive technology for the detection of plant pathogens and insect damage. Uniquely this approach will simultaneously use a combination of machine vision and volatile biomarkers to diagnose the presence of plant pests, i.e. pathogens and insects, even before extensive damage and loss of plant yield occurs. This will enable faster detection of crop pests allowing farmers and growers to apply crop protection strategies at the correct time which will result in reduced yield loss and less pesticide spraying.

Committee	Not funded via Committee
Research Topics	Crop Science, Microbiology, Plant Science, Technology and Methods Development
Research Priority	X – Research Priority information not available
Research Initiative	Tools and Resources Development Fund (TRDF) [2006-2015]
Funding Scheme	X – not Funded via a specific Funding Scheme

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