Farmers face a shortage of skilled labor to execute time-sensitive operations, impacting farming outcomes. The seasonal nature of farm work, the increasing size of farms, and limitations on equipment size due to existing roadways exacerbate these challenges. Human labor costs also contribute to the economic pressures on farms.

Mojow Autonomous Solutions develops the EYEBOX™ autonomous navigation kit, which retrofits onto existing agricultural machinery to enable unmanned operation. EYEBOX™ utilizes advanced sensor systems and computer vision to perceive the environment, plan efficient routes, and control the tractor and its implements. This technology automates broad acre applications, improving efficiency and productivity while addressing the labor shortage. The system creates a continuously updated digital twin of the farm, allowing for informed decision-making and task execution.

Retrofit kit compatible with a range of existing tractor models

Real-time perception using a suite of sensors providing a 360-degree view of the tractor's surroundings

Advanced computer vision and machine learning algorithms for environment understanding and object detection

Digital map creation and maintenance for autonomous navigation tasks

Edge computing architecture for real-time decision-making and control

Task planning and coverage mission execution

As-applied mapping for implement and product applications

Mobile phone application for remote monitoring, control, and task assignment

Remote engine start/stop, steering and propulsion control, hydraulic and PTO control

The primary customers are farmers seeking to improve operational efficiency, reduce labor costs, and automate time-sensitive tasks in broad acre farming applications.