Multi-UAV Pasture Grazing Control With Low-Disturbance Herd Tracking
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Solution Overview
Problem
Existing technologies face challenges in realizing real-time, precise management of herd grazing, individual behavior detection, and efficient grazing area rotation using UAVs without disturbing herd activities.
Innovation Solution
An intelligent management method and system utilizing multi-machine collaboration of UAVs to obtain pasture environment information, plan grazing paths, collect and analyze herd activity and vegetation coverage data, and implement autonomous grazing through improved path planning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional aerial surveys are used, then coverage area is large, but flexibility is poor and disturbance to herd activities occurs
Solution Approach 1:
The patent replaces traditional mechanical aerial survey systems with UAV-based optical sensing systems. The UAVs use cameras and image processing algorithms to conduct surveys, substituting mechanical survey methods with optical-digital systems that provide both large coverage and minimal disturbance to herd activities.
2Productivity
If manual herd management is used, then individual behavior detection is possible, but manpower and material resources are excessive
Solution Approach 1:
The system enables self-service management where the UAV autonomously conducts surveys, processes images, identifies herd individuals, tracks behaviors, and generates management reports without human intervention. The automated image processing and AI-based behavior analysis allow the system to manage herds independently, dramatically reducing manpower requirements while maintaining high management efficiency.
Solution Approach 2:
The patent introduces an intermediary automated image processing system between the herd and the manager. This intermediary system uses computer vision algorithms to automatically analyze herd images, identify individuals, detect behaviors, and provide management insights, replacing direct manual observation and reducing the need for extensive human resources.
3Measurement precision
If real-time herd tracking is implemented, then precise grazing management is achieved, but system complexity increases
Solution Approach 1:
The patent segments the complex tracking system into modular functional components: UAV flight control module, image acquisition module, image processing module, individual identification module, behavior detection module, and reporting module. Each module performs a specific function independently, which simplifies the overall system architecture while maintaining high tracking precision through coordinated operation of these segmented components.
Data Source
AI summary
The present disclosure discloses an intelligent management method and management system of a natural pasture using multi-machine collaboration of UAVs, which belongs to the technical field of UAVs. The method includes: by a UAV group, obtaining pasture environment information, automatically planning a global grazing path, and performing automatic driving and grazing according to a user-defined grazing time, a starting point and an end point; during the process, collecting and analyzing herd activity images, and planning local grazing paths to assist in the automatic driving; and meanwhile, collecting vegetation coverage image data of a grazing area to further assist in the grazing.