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
Multiple Pessl METOS in-field weather and crop monitoring technologies were used to collect data for sclerotinia disease prediction modelling in canola.
View Disease Risk Utility Monitoring 2021 Summary - Fact Sheet