Computer vision specialist Blue River Technology has developed a solution for [pesticide risk], using advanced machine learning algorithms to enable robots to make decisions, based on visual data (just as we would do ourselves) about whether or not a plant is a pest, and then deliver an accurate, measured blast of chemical pesticides to tackle the unwanted pests.
Farm equipment and services giant John Deere saw the potential of this development and acquired the start-up late last year and added it to the catalog of high tech, data-powered services it already offers its customers.
The large-scale mechanization of agriculture means that accurate data is available from the machines which spread seeds and harvest crops. Robots – such as those developed by Google-funded Abundant Robotics which suck ripe fruit from branches with vacuums -naturally record everything they do and every parameter of their operation. This structured machine data meshes well with unstructured data from meteorological or satellite imagery, and when filtered through AI algorithms will provide insights that more accurately predict yields and losses.
Of course, getting on-board with all these possibilities could prove challenging to some farmers who are more accustomed to running their businesses on grain silos than data silos.
Read full, original post: The Incredible Ways John Deere Is Using Artificial Intelligence To Transform Farming