Imagine walking into a field, plucking a leaf off a grapevine, scanning it and knowing within seconds if the plant is healthy, needs fertilizer or is showing signs of stress.

A team from the Department of Biological and Agricultural Engineering at University of California, Davis, has done just that.

Meet the Leaf Monitor, a mobile tool paired with a handheld spectrometer backed by artificial intelligence and predictive modeling that could revolutionize how farmers monitor and manage crop decisions by providing real-time nutrition and trait information in the field.