Core Technologies

Intelligent
Robotics

 Combining machine vision with AI large models to create next-generation agricultural robots. Real-time crop and environment recognition with AI decision-making enables precision planting, smart harvesting, and pest monitoring — achieving a closed-loop “Perception–Analysis–Execution” system for enhanced agricultural efficiency.

Intelligent
Perception
Network​

Proprietary system combining machine vision, sensors, and AI for equipment management, environment control, and crop monitoring, enabling end-to-end data acquisition and analysis.

AI
Decision
System​

Deep learning models trained on large-scale agricultural datasets to provide accurate seeding, fertilization, irrigation, and pest management recommendations — reducing manual dependency while increasing efficiency and yield.

Intrinsic
Data
Security

Data protection mechanisms based on cryptography and information-hiding technologies, ensuring full lifecycle protection through both static and dynamic defense.