Detection of potato soft rot was explored by means of metal-oxide gas sensors.
Detection was tested at symptomatic and pre-symptomatic stages.
A subset of sensors was shortlisted from the original array.
Unsupervised techniques and predictive models were employed for analysis.
The metric of ‘sensitivity’ was employed for predictive modelling.