AI-powered precision agriculture platform using autonomous drones and computer vision
Precision AI builds drone-based systems and ML models to shift farm decision-making from field-level to plant-level granularity. The tech stack is hardware-heavy (C/C++, Zephyr, LiDAR, Jetson Orin, ArduPilot) with embedded systems and sensor drivers at the core—a signal they're engineering autonomous UAVs and onboard perception rather than cloud-only software. An engineering-dominant team (10 of 12 employees) focused on drone autonomy, spray mechanics, and hardware-in-the-loop testing reflects the operational complexity of deploying ML in uncontrolled farm environments.
Precision AI develops autonomous drone platforms and AI software for precision agriculture. The company translates field-scale crop data into plant-level actionable insights via custom hardware (drones equipped with sensors and spraying systems) and embedded machine-learning models. Founded in 2017 with offices in Canada and the United States, the company operates at the intersection of robotics, computer vision, and agronomy. Core challenges include ensuring reliable autonomy in variable farm conditions, managing noisy seasonal data, and scaling mechanical systems that withstand outdoor environments while remaining cost-effective.
Primarily embedded systems: C, C++, Zephyr, CAN, UART, I2C, GPS, LiDAR, ArduPilot, Jetson Orin, plus cloud infrastructure (AWS, Docker, Kubernetes, GitHub) and design tools (SolidWorks, Fusion, Onshape).
Autonomous drone embedded systems, sensor drivers, hardware-in-the-loop testing, spray mechanics, and UAV platform development. The team is also executing operational scaling (office expansion, supply-chain coordination) alongside continuous system improvement.
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