Self Driving Tractor

We engineered an autonomous tractor platform for AgroTractors that requires far more than software alone. The work includes ruggedized onboard GPU systems, machine-level control modifications, and AI models that assess terrain risk in real time using aerial and field data together. By combining drone-derived intelligence, onboard perception, and the autonomy stack itself, we gave the tractor a much stronger ability to detect hazards, reason about uncertainty, and navigate agricultural environments with the kind of AI for agriculture and agriculture automation software that has to work outside the lab. We've worked on AI agriculture systems that combine onboard intelligence, field robotics, and aerial data to make autonomy more practical, more resilient, and more useful in real operating conditions.