Prediction precision analysis of soil organic matter based on cloud genetic BP neural network in Huang-Huai-Hai dry farming area

XU Qingfeng; YU Ruyue; GOU Yuxuan; ZHAO Yunze; LI Yong; HUANG Yuanfang

doi:10.11841/j.issn.1007-4333.2021.04.15

Your Location：

Home >

Browse articles >

Prediction precision analysis of soil organic matter based on cloud genetic BP neural network in Huang-Huai-Hai dry farming area

Updated：2024-02-27

Previous|Next

- Prediction precision analysis of soil organic matter based on cloud genetic BP neural network in Huang-Huai-Hai dry farming area
- XU Qingfeng , YU Ruyue , GOU Yuxuan , ZHAO Yunze , LI Yong , HUANG Yuanfang
- Journal of China Agricultural University Vol. 26, Issue 4, (2021)
- Affiliations：
  1. College of Land Science and Technology, China Agricultural University,Beijing,China,100193
  2. Key Laboratory of Agricultural Land Quality of Ministry of Natural Resources,Beijing,China,100035
  3. Key Laboratory of Arable Land Conservation(North China
- Author bio：
- Funds：
- DOI： 10.11841/j.issn.1007-4333.2021.04.15
  CLC：
- Accepted：
Scan QR Code
DOI：
DOI：

Full Text(HTML)
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

8

Views

10

Downloads

1

CSCD

Alert me when the article has been cited

Submit

Tools

BibTeXDownload
EndnoteDownload
RefMan Download
NoteExpressDownload
NoteFirstDownload

Publicity Resources

Related Articles

Fault diagnosis of greenhouse sensors nodes based on timeseries and neural network

Research on the early-warning model of vegetable pesticide residues based on a neural network

Comparison of sugarcane leaf chlorophyll prediction models based on full and dual reflected spectral bands

Comparative study on soil moisture content prediction model

Spatial distribution of soil pH and the main driving factors in farmlands of Fujian Province

Related Author

LIU Gang

WANG Jun

LI Xiao-man

QIAN Yong-zhong

TANG Xiao-chun

ZHANG Hui-yuan

ZHANG Xing-lian

CHEN Xiao

Related Institution

College of Information and Electrical Engineering/Key Laboratory of Modern Precision Agricultural System Integrationof Education Ministry, China Agricultural University

College of Vehicle & Motive Power Engineering, Henan University of Science and Technology

Institute of Quality Standards & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-food Safety and Quality, Ministry of Agriculture

School of Agricultural economics and Rural Development, Renmin University of China

College of Electrical Engineering, Guangxi University

Chat