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A knowledge graph dataset for broiler farming automatically constructed based on a large language model.

Nan Ma1,2, Fantao Kong3,4, Jifang Liu2,4

  • 1College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China.

Data in Brief
|October 1, 2025
PubMed
Summary

This study developed a comprehensive broiler farming knowledge graph using large language models. The system integrates diverse data for improved decision-making and optimized production efficiency in intelligent agriculture.

Keywords:
Broiler farmingExtraction of knowledgeKnowledge graphLarge language model

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Area of Science:

  • Agricultural Science
  • Artificial Intelligence
  • Data Science

Background:

  • Intelligent farming is crucial for modern agriculture, with broiler farming requiring sophisticated management.
  • Existing knowledge graphs lack depth in capturing broiler farming interdependencies, limiting decision support.
  • A comprehensive knowledge system is needed to optimize broiler production efficiency.

Purpose of the Study:

  • To construct a high-quality broiler farming knowledge graph using large language modeling.
  • To integrate a Chinese corpus covering breeds, environment, feeding, and disease prevention.
  • To enhance decision-making and optimize management in broiler farming.

Main Methods:

  • Utilized text scanning and web crawlers for data acquisition from farming literature and online sources.
  • Employed the DeepKE framework and large language models (LLMs) for knowledge extraction and refinement.
  • Stored structured knowledge in a Neo4j graph database for efficient querying and analysis.

Main Results:

  • Developed a comprehensive knowledge graph dataset covering four core dimensions of broiler farming.
  • Successfully integrated diverse data sources, ensuring accuracy and consistency through validation.
  • Enabled data-driven inference and visual management for optimized farming strategies.

Conclusions:

  • The constructed knowledge graph provides multidimensional insights into broiler farming.
  • The system supports visual management, data-driven inference, and optimization of farming strategies.
  • This approach offers novel methods for enhancing production efficiency in broiler farming.