Machine learning techniques can be successfully deployed to better identify food insecurity outbreaks across the world long before they take place, according to a new study.
Why it matters: The timely disbursement of humanitarian aid can be a matter of life or death during a food crisis. How we gather information and when we respond can make all the difference.
