John Deere relies heavily on crops being available for testing their products. The issue with this is that crops are not available year-round. This project will help John Deere test the behavior of their products without needing actual crops to be present. The team created a system that simulates a virtual crop field and an ideal path that the vehicle should travel along. As the vehicle is traveling, the system takes in the real time GPS location of the vehicle and compares its position to the generated ideal path and outputs an “error” that shows how far off the vehicle currently is from the ideal path. This error can then be fed to an automatic control system so the vehicle can fix its position and avoid hitting crops. As all of these calculations are happening, the system also outputs a Visualization Tool that helps visualize the generated crop field, the ideal path, the vehicle’s path, and the error of the vehicle as it is traveling along the simulated crop field.

Team Members

Axel Castaneda
Finn Haddon
Joseph Huynh
Kenneth Pinzon
Yang Zhou