Sensor-Based Pre-Symptomatic Detection of Pests and Pathogens for Precision Scheduling of Crop Protection Products - Research Portal | Lancaster University

Home > Research > Projects > Sensor-Based Pre-Symptomatic Detection of Pests...

View graph of relations

Sensor-Based Pre-Symptomatic Detection of Pests and Pathogens for Precision Scheduling of Crop Protection Products

Project: Research

Status	Finished
Effective start/end date	1/10/15 → 28/02/19

Funding

Barfoots of Botley Ltd: £73,478.00

McAinsh, Martin (Principal Investigator)
Martin, Frank (Co-Investigator)
McAinsh, Martin (Principal Investigator)
McAinsh, Martin (Principal Investigator)

Research outputs

Biospectroscopy for Plant and Crop Science
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Plant Hyperspectral Imaging
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Entry for encyclopedia/dictionary
ATR‑FTIR spectroscopy non‑destructively detects damage‑induced sour rot infection in whole tomato fruit
Research output: Contribution to Journal/Magazine › Journal article › peer-review