基于知识图谱的水产养殖病害诊断系统设计

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中图分类号：Q958 文献标志码：A 文章编号：1004—6755（2025）12—0067-03

Design of a knowledge graph-based aquaculture disease diagnosis system

SHEN Yubin

（Rural Affairs Office of Hengji Town，Jianhu County，Yancheng 224763，China）

Abstract：Given the complexity of aquaculture disease diagnosis and the multi-source，heterogeneous nature of data，this study investigates the application of knowledge graphs in disease diagnosis systems.It outlines the construction process encompassing data collection，entity modeling，relationship fusion，and semantic normalization，while detailing the system's specific design in data management， knowledge retrieval， inference engines，and user interaction modules. Through pilot implementation at representative aquaculture farms，the system's performance and effectiveness were validated. Results demonstrate a Top-1 diagnostic accuracy of 86.7% ，representing a 14.3% improvement over baseline systems. Average response latency was reduced by approximately 40% ，while treatment compliance rates increased to 91.5% .This system enables efficient，interpretable disease diagnosis and generates actionable prevention recommendations.

Key words：aquaculture；disease diagnosis；knowledge graph

水产养殖业在规模化发展中，病害频发成为制约因素，传统经验诊断难以应对复杂病原与环境变化。（剩余3806字）