Crop diseases can generate destructive outbreaks that have the potential to threaten global food security, which is why it is fundamental to have reliable data promptly available from disease surveillance programs and outbreak investigations. In many cases, however, only information on outbreaks is collected and data from surrounding healthy crops is omitted. Use of such data to develop models that can forecast risk/no-risk of disease is therefore problematic, as information relating to the no-risk status of healthy crops is missing.
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This article was originally posted by The James Hutton Institute