Your Location：
Home >
Browse articles >
Quantification method for the individual water intake of fattening pigs based on drinking behavior parameters
Quantification method for the individual water intake of fattening pigs based on drinking behavior parameters
- “In the field of intelligent breeding, experts have constructed a multi factor prediction model for pig water consumption, and BP neural network has shown significant advantages, providing key data for analyzing the health status of pigs.”
- Journal of China Agricultural University Vol. 29, Issue 11, Pages: 179-187(2024)
DOI： 10.11841/j.issn.1007-4333.2024.11.18
Scan QR Code
Full Text(HTML)
Figs( 3 ) Tabs( 2 )
References
Publication Info
Metrics
37
Views
21
Downloads
1
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
A hog price prediction method based on improved temporal convolutional network
Prediction of the rice blast in Hubei Province based on machine learning and multi-dimensional meteorological features
New quality productive forces of agriculture in China based on machine learning: Regional comparison, driving factors and dynamic evolution
Screening of core genes and prediction of traditional Chinese medicine components for bovine respiratory disease based on machine learning and reverse network pharmacology
The factors affecting the behavior response of service providers in manure returning based on machine learning: Empirical evidence from the green planting-breeding cycle agriculture pilot program
Related Author
CHEN Xiaoyan
PANG Tao
YU Fu
HU Xiaonan
WANG Zhen
WANG Zepeng
CAO Chunxia
LIU Hong
Related Institution
Key Laboratory of Agricultural Information Engineering of Sichuan Province, Sichuan Agricultural University, Yaan
College of Mechanical and Electrical Engineering, Sichuan Agricultural University, Yaan
College of Information and Engineering, Sichuan Agricultural University, Yaan
Research Center for Green Development and Rural Revitalization， Guizhou University of Finance and Economics
School of Business Administration， Zhongnan University of Economics and Law
Intro
Chat
