Your Location:
Home >
Browse articles >
A safety decision-making framework for large language models in cotton production integrates multi-source heterogeneous data and architecture-level hallucination mitigation
A safety decision-making framework for large language models in cotton production integrates multi-source heterogeneous data and architecture-level hallucination mitigation
- Journal of China Agricultural University Vol. 31, Issue 9, Pages: 69-81(2026)
DOI: 10.11841/j.issn.1007-4333.2026.09.06
Accepted:20 June 2026
Scan QR Code
Full Text(HTML)
Figs( 3 ) Tabs( 5 )
References
Publication Info
Metrics
36
Views
27
Downloads
0
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
Factor substitution and regional differences of cotton production in China
Impact of AI TCM digital human image recommendation on live-streaming platforms on functional agricultural product consumption intention
PETFish-MViT: A novel classification model of ornamental fish based on improved MobileViT
Development of a comprehensive stress resistance identification system during japonica rice germination stage and germplasm screening germination stage
Spatiotemporal evolution characteristics and driving mechanisms of grain supply chain resilience in China
Related Author
WU Qingjun
ZHU Junfeng
Related Institution
College of Economics and Management, China Agricultural University


