Early identification of potato storage disease using an array of metal-oxide based gas sensors
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文摘

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.

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