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To date, a machine learning framework has been developed and refined to achieve a better understanding of blackleg risk. Preliminary findings are that the relative importance of different risk factors varies according to the seed grade and the spatial scale studied.
To produce a precision disease management tool for predicting the risk of blackleg development in any potato growing area of Scotland