SMART AGRICULTURE

ALG-TECH delivers precise vision-based perception solutions for agricultural scenarios including crop monitoring and autonomous agricultural machinery navigation.

ALG-TECH provides high-performance camera products and domestically-produced high-computing-power edge computing kits for smart agriculture applications. By integrating visual perception, AI edge computing, and multi-sensor fusion technologies, it enables real-time environmental perception, dynamic obstacle avoidance, precise crop identification, and centimeter-level navigation for intelligent agricultural machinery. ALG-TECH also offers services including customized solution design, sensor adaptation, algorithm optimization, and full-process technical support. These solutions are suitable for scenarios such as agricultural operations and greenhouse cultivation, facilitating the autonomous driving of smart agricultural machinery and the precise upgrade of agricultural production.

Stable Perception in Complex Environments

The cameras feature ultra 120dB HDR high-dynamic-range imaging and low-light enhancement technology. With an IP67 waterproof and dustproof design and an operating temperature range of -40°C to 85°C, they withstand harsh field conditions like intense sunlight and rainy weather.

Multi-Modal Precise Navigation

It integrates visual SLAM with GPS+IMU multi-sensor collaboration technology, supporting autonomous positioning in GPS-denied environments and GPS drift correction, achieving centimeter-level operational positioning accuracy.

Real-Time Intelligent Decision-Making

The edge computing platform provides ample AI computing power for real-time visual data processing, supporting the efficient operation of algorithms for crop recognition, path planning, and dynamic obstacle avoidance, thereby enhancing the automation efficiency of agricultural operations.

Domestic High Cost-Effectiveness

Utilizing domestically-produced core chips to build the edge computing platform, paired with cost-effective vision kits, significantly lowers the barrier to intelligent upgrades for agricultural equipment and meets the needs for large-scale deployment.

SOLUTION