This product deeply integrates edge computing, multimodal machine vision and ultra-high-speed fluid control technology, enabling millisecond-level accurate identification of crops and weeds together with variable-rate spraying. Adopting the targeted operation mode of "spray weeds only without harming crops", it greatly cuts pesticide consumption, reduces agricultural non-point source pollution, and facilitates the transition of agricultural production toward green, efficient and intelligent farming.
It adopts a fusion solution of industrial high-resolution cameras and active depth sensors. It can not only acquire high-fidelity 2D RGB images, but also construct 3D point cloud data of farmland in real time. It resists interference from unstructured environments such as complex lighting and crop occlusion, and realizes high-precision identification around the clock.
Equipped with a high-performance edge computing platform. With powerful parallel processing capability and ultra-low power consumption, it ensures high-frame-rate, low-latency real-time inference of deep learning detection algorithms on the device side, delivering sufficient computing headroom even when the machine travels at high speed.
The system actuator adopts self-developed ultra-high-speed solenoid valves fully designed and manufactured in-house. The switching frequency reaches up to 80Hz (80 times per second). This self-developed core component breaks the physical latency bottleneck of conventional spraying equipment and achieves pixel-level targeted chemical application, spraying precisely where required.
