The new AI-powered agricultural machinery captured by CCTV is using Nanoradar radar.
2026-04-07
Abstract
Recently, China Central Television (CCTV) aired a special report on AI-powered agricultural equipment, focusing on the theme “Striving Ahead in the 15th Five-Year Plan: Pioneering a New Era through Pragmatic Action—‘Small but Sophisticated’ AI-Driven Agricultural Machinery Makes Farming More Efficient.”
Nanoradar's radar makes an appearance in the footage of AI-powered new agricultural machinery—integrated into the front of the machine to enable real-time environmental perception and obstacle avoidance during autonomous operations.

Photo | Beijing CAS Original Power’s new AI-powered agricultural machinery makes its debut in a CCTV report, now equipped with Nanoradar’s in-vehicle millimeter-wave radar.
I. Focusing on being integrated is the strategy that Nanoradar Technology has always adhered to.
In agricultural machinery systems, radar serves as a critical component of the perception chain, operating in tandem with sensors such as cameras to acquire field-operation data and provide essential data support for trajectory planning and operational decision-making.
Based on this, Nanoradar focuses on integration, refrains from interfering with customer applications or participating in bidding, and dedicates itself to delivering high-quality radar solutions that help customers build more reliable perception systems for agricultural robots.

II. Building a Family of In-Vehicle Radar Products Centered on “Focus on Being Integrated”
Centering on the “focus on integrability” strategy, Nanoradar has continuously expanded its in-vehicle radar portfolio, offering six models that cover a range of 20–170 meters with a point-cloud output of 1,200 points per frame. The smallest form factor is just 40×40 mm, and the products support multiple interfaces—including serial port, CAN, and RS485—making integration effortless for customers.

III. Support for the ROS system to enhance “focus on integration” efficiency
At the system integration level, Nanoradar’s in-vehicle radar supports the ROS 1 and ROS 2 open-source frameworks, enabling rapid integration with autonomous driving control systems and algorithm platforms.
By leveraging standardized data interfaces, the radar can be directly integrated into customers’ existing systems, reducing secondary development costs and enhancing integration efficiency.

IV. Support for Domestic and International Certifications to Ensure Compliance with the “Focus on Being Integrated” Principle
Nanoradar’s in-vehicle radar complies with domestic and international certification requirements such as SRRC, CE, and RoHS, meeting the application standards of various regions and industries while reducing customers’ compliance costs and risks throughout their projects.
As the drive toward agricultural intelligence accelerates, Nanoradar will remain laser-focused on radar capabilities themselves, serving as a trusted perception foundation for customers’ systems.

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