Agtonomy, a physical AI company bringing factory-fit automation to trusted off-road equipment platforms through partnerships with leading OEMs, today announced expanded data capabilities across its autonomy stack, including enhanced passive data collection at scale and the introduction of autonomous multi-point turning on Agtonomy-enabled units.
Each vehicle in operation processes more than 2 terabytes of data per hour, generating a continuous stream of field intelligence for Agtonomy’s commercial autonomy platform. Captured across diverse operating environments, equipment platforms, and tasks, this data supports faster iteration, stronger system performance, and continued advancement of practical automation for rugged off-road applications.
Agtonomy also announced fully autonomous multi-point turning, a new capability that allows Agtonomy-enabled units to execute complex maneuvers in reverse with precision, without any human intervention. Designed for real operating conditions, the feature improves maneuverability at sites with tight headland areas, helping equipment complete tasks on acreage previously not accessible to autonomous tractors due to space constraints. This feature addition marks another step forward in full task automation, not just isolated vehicle movements.
“Growers don't have time to wait for innovation to show up in the field, they need autonomous fleets that work today and get better tomorrow," said Tim Bucher, CEO and co-founder of Agtonomy. "That's what's driving us: a continuous loop between real commercial operation feeding real product development that lets us solve real problems, like tight headlands or inconsistent data collection, faster than the industry is used to. Agriculture is where we started, because it's one of the most critical industries on the planet, but the same approach is what will carry this platform into every rugged, off-road environment that can't afford to be an afterthought when it comes to innovation. We're moving at the pace our customers actually need and putting that value back into the hands of the people doing the work.”
“Growers don't have time to wait for innovation to show up in the field, they need autonomous fleets that work today and get better tomorrow...We're moving at the pace our customers actually need and putting that value back into the hands of the people doing the work.” Tim Bucher | CEO and co-founder of Agtonomy
From Field Data to Fleet-Wide Intelligence
Beyond improving autonomy, Agtonomy said the anonymized data collected passively by Agtonomy-enabled units is forming a growing foundation of real-world model data across equipment, tasks and operating environments. Over time, this data foundation will support new applications for customers and partners, and can be made available to qualified ecosystem partners, such as agronomy and analytics providers, to help power agronomic insights, operational analytics, fleet optimization, and other data-driven services.
"Agtonomy has completely changed the way we approach data collection in the orchard,” said Joel Carter, Orchard Operations Manager at Okanagan Specialty Fruits. “We now use Agtonomy-enabled equipment for 100 percent of our crop data collection jobs. It can operate around the clock, including at night, covering every row at a consistent speed without requiring manual data collection. The data we collect supports yield counts, crop canopy management, and other key orchard insights. 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 across our operation.”
Agtonomy has also continued to expand the versatility of its platform, which now supports more than 500 implements across a wide range of field tasks. These range from large-capacity air blast sprayers and ground-engaging discs to precision toolbars and other specialized equipment, each with different operating requirements and precision control behaviors. To support this breadth, Agtonomy developed the Agtonomy Implement Library™ which is designed to provide a standardized way to integrate new implements and configurations into the platform.