An accurate recommendation method for new animal and plant varieties based on deep learning

Your Location：

Home >

Browse articles >

An accurate recommendation method for new animal and plant varieties based on deep learning

Updated：2026-05-07

- An accurate recommendation method for new animal and plant varieties based on deep learning
- GU Jingqiu , GUO Wang , ZHU Huaji , HAO Peng , WU Huarui
- Journal of China Agricultural University Vol. 30, Issue 7, Pages: 218-229(2025)
- Affiliations：
  1.Research Center of Information Technology， Beijing Academy of Agriculture and Forestry Sciences， Beijing 100097， China
  2.National Engineering Research Center for Information Technology in Agriculture， Beijing 100097， China
  3.Key Laboratory of Digital Village Technology， Ministry of Agriculture and Rural Affairs， Beijing 100097， China
- Author bio：
- Funds：
- DOI： 10.11841/j.issn.1007-4333.2025.07.19
  CLC：
- Accepted：
Scan QR Code
DOI：
DOI：

Full Text(HTML)
Figs( 3 ) Tabs( 7 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

148

Views

26

Downloads

0

CSCD

Alert me when the article has been cited

Submit

Tools

BibTeXDownload
EndnoteDownload
RefMan Download
NoteExpressDownload
NoteFirstDownload

Publicity Resources

Related Articles

Multi-actor collaborative strategies and optimization pathways for high-standard farmland construction

Research status and hotspot of artificial intelligence driven genomics research based on CiteSpace

Analysis on drop breakage and collision acceleration characteristics of millet root stubbles-membrane-soil composite

Assessment of China’s new productivity in grain production: Regional differences, dynamic evolution, and driving factors

Causal-driven interpretable prediction of county-level maize yield: A case study of the Yellow River irrigation district

Related Author

No data

Related Institution

No data

Chat