AI Autonomous Robot for Agricultural and Fishery Environments
The AI autonomous smart inspection robot integrates artificial intelligence (AI), automatic navigation, and multiple environmental sensing technologies to conduct autonomous inspections and real-time monitoring in agricultural, livestock, and fishery environments. Through image recognition and environmental data analysis, the system assists managers in grasping the real-time status of crops, organisms, and the environment, thereby improving management efficiency and reducing labor costs.
- Company NameMIC METER INDUSTRIAL COMPANY
Through the design concept of "one machine, three domains" (agriculture, fisheries, and livestock), it achieves smart, precise, and sustainable management for these industries.
Autonomous Inspection Platform: A tracked mobile robot equipped with an 80–180 cm lifting platform that can flexibly enter farm environments for multi-height inspection and monitoring.
Low-Cost Smart Inspection Solution: Utilizes a lightweight design to replace traditional robotic arm equipment, significantly reducing implementation and maintenance costs.
AI Smart Disease Recognition: Combines YOLO image recognition and edge computing technologies to automatically identify common crop diseases, such as powdery mildew and downy mildew.
High-Accuracy Disease Monitoring: The current recognition accuracy reaches up to 89.3%, and model precision can be further improved through continuous data accumulation.
Real-Time Inspection and Rapid Decision-Making: Instantly analyzes images and data on-site, assisting managers in detecting problems early and taking corrective measures.
Enhancing Smart Agricultural Management: Reduces the burden of manual inspections, improves management efficiency, and promotes the application of precision agriculture.
Autonomous Inspection Platform: A tracked mobile robot equipped with an 80–180 cm lifting platform that can flexibly enter farm environments for multi-height inspection and monitoring.
Low-Cost Smart Inspection Solution: Utilizes a lightweight design to replace traditional robotic arm equipment, significantly reducing implementation and maintenance costs.
AI Smart Disease Recognition: Combines YOLO image recognition and edge computing technologies to automatically identify common crop diseases, such as powdery mildew and downy mildew.
High-Accuracy Disease Monitoring: The current recognition accuracy reaches up to 89.3%, and model precision can be further improved through continuous data accumulation.
Real-Time Inspection and Rapid Decision-Making: Instantly analyzes images and data on-site, assisting managers in detecting problems early and taking corrective measures.
Enhancing Smart Agricultural Management: Reduces the burden of manual inspections, improves management efficiency, and promotes the application of precision agriculture.