Computer vision systems are already widely employed in different
segments of agricultural production and industrial food production.It was identified that there are gaps to be filled with the develop-
ment of intelligent devices that use computer vision and artificial in-
telligence for automation of tasks in the field, as well as their integra-
tion with agricultural machines and drones.Wheat, oat and barley cultivars, for instance,
could benefit from a computer system that aims to reduce complexity
and costs in the gluten-containing grains classification from images.Finally, our intention that this survey would present diverse appli-
cations and techniques of machine learning, image and video proces-
sing in order to motivate more researchers to apply them for solving
agricultural problems currently open.Referen