Successfully expanding into a new crop relies on training the system’s algorithms to manage the complexities of that crop, Greeneye’s Bocher says. “That depends on two things: the quality and quantity of the data we collect. We gather data from a diverse range of scenarios, using it to build our learning models and train our algorithms”.