A prediction model of NH3 concentration for swine house in cold region based on Empirical Mode Decomposition and Elman neural network-Reference-Cited by-同舟云学术

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A prediction model of NH3 concentration for swine house in cold region based on Empirical Mode Decomposition and Elman neural network

Published:2019-06 Issue:2 Volume:6 Page:297-305
ISSN:2214-3173
Container-title:Information Processing in Agriculture
language:en
Short-container-title:Information Processing in Agriculture

Author:

Shen Weizheng,Fu Xiao,Wang Runtao,Yin Yanling,Zhang Yan,Singh Udaybeer,Lkhagva Bilegtsaikhan,Sun Jian

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference31 articles.

1. Assessment of ammonia emissions from swine facilities in the U.S.—Application of knowledge from experimental research;Ni;Environ Sci Policy,2012

2. Effects of a high-fibre diet on ammonia and greenhouse gas emissions from gestating sows and fattening pigs;Philippe;Atmos Environ,2015

3. Ammonia emissions from pig houses: influencing factors and mitigation techniques;Philippe;Agric Ecosyst Environ,2011

4. Characteristics of national standards for scale pig farms;Ji;Prog China's Pig Indust,2008

5. Concentration of harmful gases in poultry and pig houses;Mihina;Animal Sci Pap Rep,2012

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1. Total suspended particulates prediction method for intensive waterfowl farming;Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum;2023-09-22

2. Long-term performance validation of NH3 concentration prediction model for virtual sensor application in livestock facility;Heliyon;2023-08

3. A Hybrid Medium and Long-Term Relative Humidity Point and Interval Prediction Method for Intensive Poultry Farming;Mathematics;2023-07-24

4. Long-Term Performance Validation of Nh3 Concentration Prediction Model for Virtual Sensor Application in Livestock Facility;2023

5. Prediction of Ammonia Concentration in a Pig House Based on Machine Learning Models and Environmental Parameters;Animals;2022-12-31

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