  Digital technologies ignited a revolution in the agrifood domain known as
precision agriculture: a main question for enabling precision agriculture at
scale is if accurate product quality control can be made available at minimal
cost, leveraging existing technologies and agronomists' skills. As a
contribution along this direction we demonstrate a tool for accurate fruit
yield estimation from smartphone cameras, by adapting Deep Learning algorithms
originally developed for crowd counting.
