Support vector machine-based open crop model (SBOCM): Case of rice production in China
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Support vector machine-based open crop model (SBOCM): Case of rice production in China

Su YX;Xu H;Yan LJ;;
saudi journal of biological sciences 2017 Vol. 24 pp. -
151
yx2017saudisupport

Abstract

Existing crop models produce unsatisfactory simulation results and are operationally complicated. The present study, however, demonstrated the unique advantages of statistical crop models for large-scale simulation. Using rice as the research crop, a support vector machine-based open crop model (SBO …

Keywords

National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:28386178 pmc5372395 doi:10.1016/j.sjbs.2017.01.024 ying-xue su huan xu li-jiao yan

Access

URL:
https://www.ncbi.nlm.nih.gov/pubmed/28386178

Citation

ID: 119036
Ref Key: yx2017saudisupport
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
119036
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store