Orchards are uneven. One block is heavy, the next is light, and labor plans written from averages waste money. Camera systems that ride farm equipment are turning that guesswork into tree-level counts.
Orchard Robotics’ tractor-mounted cameras — roughly five pounds, edge-processed on an onboard NVIDIA Jetson — capture millions of images as machines move down rows. Growers use FruitScope for fruit counts, size, color, canopy health, stress signals, and yield forecasts used for thinning, pruning, bin planning, and sales. The company reports hundreds of systems in the field scanning tens of thousands of acres across apples and an expanding list of specialty crops, with self-serve and full-service collection models.
The applied science is perception in messy outdoor light: occlusion, leaves, motion, and farms that may not have great connectivity — which is why edge processing matters. This is not a drone demo for a keynote. It is a subscription tool wired into how harvest and labor get scheduled.
For appliedscience.com, it is computer vision you can taste at the packing house: better counts before the fruit leaves the tree.