Farm robots that can park themselves: Agtonomy's tractors now reverse through tight orchard rows with no driver
A California startup has taught its autonomous tractors to perform multi-point turns in cramped vineyard spaces, and collects over two terabytes of field data per vehicle every hour to keep improving.
Key points
- Agtonomy, based in South San Francisco, added fully autonomous multi-point turning to its farm vehicle platform in 2025.
- Each Agtonomy-enabled vehicle processes more than 2 terabytes of data per hour to help the system learn and improve.
- The platform now works with more than 500 different farm implements, from sprayers to precision toolbars.
- Okanagan Specialty Fruits now uses Agtonomy-equipped machines for 100 percent of its crop data collection, including overnight runs.
Parking a tractor in a tight spot is harder than it looks. Between rows of fruit trees or vines, the turning room can be barely wider than the machine itself. A wrong move scrapes a trunk, crushes a vine, or simply gets the vehicle stuck.
So far, that has meant a human always had to be involved at the headland, the strip of open ground at the end of each crop row where vehicles turn around. Not any more.
Agtonomy, a physical AI company (meaning it builds software that lets real machines act and decide in the physical world) has rolled out fully autonomous multi-point turning. The feature lets its tractors execute reverse maneuvers in tight headland spaces with no operator input at all.
What does this actually change for a farmer?
It unlocks land that automation previously could not reach. If a row was too narrow or awkward to let a driverless machine turn safely, a human had to step in. That defeated part of the point.
The new capability means a single worker can now oversee more machines at once, because the vehicles no longer need babysitting at the end of each row. For small operations, where every labour hour counts, that matters.
Agtonomy sells its technology as a retrofit kit, a set of hardware and software bolted onto existing vehicles made by partners Kubota and Bobcat, two of the biggest names in compact farm and construction equipment. Farmers keep their existing machines; Agtonomy adds the autonomous brain.
Where does all that data go?
Every hour of operation, each vehicle generates more than 2 terabytes of anonymised data, roughly the storage of 500 DVDs, capturing terrain, crop rows, obstacles and task performance across different farms and conditions. That stream feeds back into Agtonomy's models, making future software updates smarter.
Orchard operations manager Joel Carter at Okanagan Specialty Fruits, a fruit grower in British Columbia, put it plainly: his team now runs Agtonomy-equipped machines for every single crop data collection job, day and night, at a consistent pace across every row. "That consistency and accuracy have helped us improve fuel efficiency, reduce the labor and cost required for data collection, and collect more precise, repeatable data," Carter said.
Agronomy companies and analytics providers can also access the anonymised data pool, with farmer consent, to build services on top of it.
What happens next?
Agtonomy is building an Implement Library, a standardised catalogue that lets new farm attachments be plugged into the platform quickly. The list already covers more than 500 tools, from air-blast sprayers to ground-engaging discs.
CEO Tim Bucher, first reported by The Robot Report, said the company intends to move the platform beyond agriculture into any rough outdoor environment that needs automation. The same turning logic that works in a Napa vineyard, the company argues, transfers to construction sites or energy infrastructure.
For farmers weighing whether to trust a machine with an expensive crop: the data pipeline is the real product here. Each acre driven makes the next season's autonomy a little sharper.
