Agtonomy Enhances Autonomous Farm Equipment with Multi-Point Turning
Agtonomy has released new autonomous multi-point turning features for farm equipment, enabling complex maneuvers in tight spaces without human intervention.

Agtonomy, an off-road physical AI company, has expanded its commercial platform with fully autonomous multi-point turning and enhanced passive data collection. This enables farm equipment to execute complex maneuvers in tight headland spaces without human intervention, making it ideal for growers and farmers with smaller operations.
## Autonomous Farm Equipment The company develops full-autonomy packages that retrofit vehicles from its OEM partners, including Kubota and Bobcat. These platforms are key to supporting the needs of growers and farmers, particularly those with smaller operations. Each Agtonomy vehicle in operation processes more than 2 terabytes of data per vehicle, per hour, generating a continuous stream of field intelligence for the commercial autonomy platform.
This data is captured across diverse operating environments, equipment platforms, and tasks, supporting faster iteration, stronger system performance, and continued advancement of practical automation for rugged off-road applications. According to Tim Bucher, co-founder and CEO of Agtonomy, the goal is to provide autonomous fleets that work today and get better tomorrow, driven by a continuous loop between real commercial operation and real product development.
## Multi-Point Turning Features The new multi-point turning feature allows farm equipment to execute complex maneuvers in reverse with precision, without any human intervention. Designed for real operating conditions, the feature helps autonomous tractors complete tasks on acreage that was previously inaccessible due to space constraints. This addition marks another step forward in full task automation, not just isolated vehicle movements.
## Fleet-Wide Intelligence Beyond improving autonomy, Agtonomy said the anonymized data collected passively by autonomy-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, including agronomic insights, operational analytics, fleet optimization, and other data-driven services.
The data can also be made available to qualified ecosystem partners, such as agronomy and analytics providers. According to Joel Carter, orchard operations manager at Okanagan Specialty Fruits, Agtonomy has completely changed the way they approach data collection in the orchard, allowing them to use Agtonomy-enabled equipment for 100% of their crop data collection jobs and improving fuel efficiency, reducing labor and cost required for data collection, and collecting more precise, repeatable data across their operation.





