Farm design is based on traditional parameters as defined by the requirements of people, resulting in inefficiencies and incompatibilities to digital/connected farms.
Goals and Objectives
Design is driven by more autonomy.
Cloud, cognitive, IoT, digital twin, sensors, and communications
Use Case Summary
Farm design is highly automated and robotized with data intensity enabled by machine learning/artificial intelligence and platforms. This will change the design parameters and constraints of all geographic and technological aspects of the farm.