A knowledge graph for crop diseases and pests in China
Rongen Yan1,2, Ping An1,2, Xianghao Meng1,2
1School of Information Science and Technology, Beijing Forestry University, Beijing, 100083, China.
Scientific Data
|February 6, 2025
Summary
This study introduces CropDP-KG, a novel knowledge graph for Chinese crop diseases and pests. It standardizes agricultural data, aiding unified management and enhancing crop yields through improved data sharing.
Area of Science:
- Agricultural Science
- Computer Science
- Data Management
Background:
- Standardized crop disease and pest data is vital for improving agricultural yields in China's complex ecosystems.
- Existing data management lacks unified systems, hindering effective data sharing and reuse.
- A dedicated knowledge graph is needed for structured representation of crop disease and pest information.
Purpose of the Study:
- To develop CropDP-KG, a specialized knowledge graph for crop diseases and pests in China.
- To establish a unified data management system for agricultural information.
- To provide a framework and open-source codebase for building and extending knowledge graphs in this domain.
Main Methods:
- Utilized natural language processing techniques to analyze data from the Chinese crop diseases and pests image-text database.
- Designed CropDP-KG with 8 primary entities (e.g., diseases, symptoms, crops) and 7 relationship types (e.g., occurrence locations, affected parts, suitable temperature).
- Developed a knowledge service system as a practical application of the CropDP-KG.
Main Results:
- Created CropDP-KG, containing 13,840 entities and 21,961 relationships.
- Demonstrated the versatility of CropDP-KG through case studies and a knowledge service system.
- Released the codebase under an open-source license for broader accessibility and use.
Conclusions:
- CropDP-KG offers a standardized approach to managing crop disease and pest data in China.
- The developed knowledge graph and service system facilitate data reuse and extension.
- This work provides a valuable resource and guide for constructing agricultural knowledge graphs.
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