Research on the construction of a knowledge graph for tomato leaf pests and diseases based on the named entity recognition model

We developed a digital diagnostic system for tomato leaf pests and diseases based on the knowledge graph, enabling graphical management and visualization of pest and disease knowledge. The constructed knowledge graph offers insights for controlling tomato leaf pests and diseases and provides new research directions for pest control in other crops.

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Publication Details

Journal
Frontiers in Plant Science
Published
2024-11-07
DOI
https://doi.org/10.3389/fpls.2024.1482275
Citations
9
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
3.13
Controls
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article

Research on the construction of a knowledge graph for tomato leaf pests and diseases based on the named entity recognition model

Haiyan Song, Yonghao Miao, Kun Wang, Xu Wang et al.
9 citations
Frontiers in Plant Science
Advanced Text Analysis Techniques
3.13
article

Research on the construction of a knowledge graph for tomato leaf pests and diseases based on the named entity recognition model

Haiyan Song, Yonghao Miao, Kun Wang, Xu Wang, Fuzhong Li, Yüze Li
article en
9 citations

Abstract

We developed a digital diagnostic system for tomato leaf pests and diseases based on the knowledge graph, enabling graphical management and visualization of pest and disease knowledge. The constructed knowledge graph offers insights for controlling tomato leaf pests and diseases and provides new research directions for pest control in other crops.

Frontiers in Plant ScienceVol. 15
Shanxi Agricultural University (CN)
Zero hunger
Openalex Percentile: Top 7%
Advanced Text Analysis Techniques
3.13
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