RELATION EXTRACTION FOR KNOWLEDGE GRAPH GENERATION IN THE AGRICULTURE DOMAIN: A CASE STUDY ON SOYBEAN PESTS AND DISEASE

RELATION EXTRACTION FOR KNOWLEDGE GRAPH GENERATION IN THE AGRICULTURE DOMAIN: A CASE STUDY ON SOYBEAN PESTS AND DISEASE

Precision agriculture is an emerging type of agriculture that intensively uses information technology to automate agricultural production. Soybean (Glycine max (L.) Merri.), is an important crop in China, with an annual demand of approximately 110 million tons. However, in China, soybean production...

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Bibliographic Details
Main Authors: Huang, L. (Author), Wang, D. (Author), Wang, J. (Author), Wang, P. (Author), Wang, X. (Author), Zhang, C. (Author), Zhang, S. (Author)
Format: Article
Language:English
Published: American Society of Agricultural and Biological Engineers 2023
Subjects:
Agricultural productions
Agriculture
Amino acids
Bidirectional encoder representation from transformer
Bidirectional encoder representation from transformers
Case-studies
Data mining
Deep learning
Extraction
Glycine max L
Graph generation
Knowledge graph
Knowledge graphs
Nitrogen fixation
Precision Agriculture
Relation extraction
Signal encoding
Soybean pest and disease
Soybean pests and disease
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