Disease Risk Utility Monitoring

Sensor in the Olds College Smart Farm

Olds College is working with METOS Canada on their platform utility for sclerotinia disease prediction modelling in canola by collecting data with multiple Pessl Metos in-field weather stations.

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Disease Risk Utility Monitoring

Sensor in the Olds College Smart Farm

Olds College is working with METOS Canada on their platform utility for sclerotinia disease prediction modelling in canola by collecting data with multiple Pessl Metos in-field weather stations. The decision to apply fungicide is based on the presence and severity of the disease and is influenced by numerous factors including plant density, humidity, and current/forecasted weather. In-field weather stations with accurate disease risk utilities have the potential to assist producers in making informed spray decisions for sclerotinia.

Funders/Partners: METOS by Pessl Instruments, NSERC