Agriculture in many countries has developed into an increasingly high-tech industry with the latest sensor and information technology driving classic farming towards precision farming or even semi-automated farming. The classic tractor has evolved into a mobile computing machine, and the farmhouse has become an information and technology hub.
Images have proven to be useful additions to agricultural productivity. We can well imagine that cameras mounted on farming equipment will deliver a much clearer picture of crop status, allowing farmers to apply treatment to more specific areas within a field.
And, we can see that UAVs (unmanned aerial vehicles), with rather high repeat rates, will create vitality maps, allow for better post-hazard damage analysis and facilitate biological damage containment from bugs and diseases.
If one can see crop vitality, damage, risk, and yield in an image, it is worth looking at automating image analysis to improve efficiencies.