CASIA OpenIR
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models
Fan, Xing-Rong1,2; Wang, Xiujuan2; Kang, Mengzhen2,3; Hua, Jing2,3; Guo, Shuangsheng4; de Reffye, Philippe5; Hu, Bao-Gang6,7
Source PublicationCOMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN0168-1699
2018-05-01
Volume148Pages:280-290
SubtypeArticle
AbstractModeling and the prediction of material flows (plant production, CO2/O-2 concentrations, H2O) is an important but challenging task in the design and control of closed ecological life support systems (CELSS). The aim of this study was to develop a novel knowledge-and-data-driven modeling (KDDM) approach for simultaneously simulating plant production and CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models.
KeywordClosed Ecological Life Support System Functional-structural Plant Model Knowledge-and-data-driven Model Mass Balance Model Model Evaluation And Model Verification
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
DOI10.1016/j.compag.2018.03.006
WOS KeywordTOMATO CROP
Indexed BySCI
Language英语
Funding OrganizationChinese Manned Space Engineering Advance Research Projects(Y5W2021) ; National Science Foundation of China(61573348 ; Doctor Start-up Foundation of Chongqing University of Posts and Telecommunications(E010A2017023) ; 31400623 ; 31700315)
WOS Research AreaAgriculture ; Computer Science
WOS SubjectAgriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000431837900028
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/28156
Collection中国科学院自动化研究所
Corresponding AuthorKang, Mengzhen; Guo, Shuangsheng
Affiliation1.Chongqing Univ Posts & Telecommun, Elect Informat & Networking Res Inst, Chongqing 400065, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
4.China Astronaut Res & Training Ctr, Natl Key Lab Human Factors Engn, Beijing 100094, Peoples R China
5.Cirad Amis, UMR AMAP, TA 4001 Ave Agropolis, F-34398 Montpellier 5, France
6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
7.Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Fan, Xing-Rong,Wang, Xiujuan,Kang, Mengzhen,et al. A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2018,148:280-290.
APA Fan, Xing-Rong.,Wang, Xiujuan.,Kang, Mengzhen.,Hua, Jing.,Guo, Shuangsheng.,...&Hu, Bao-Gang.(2018).A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models.COMPUTERS AND ELECTRONICS IN AGRICULTURE,148,280-290.
MLA Fan, Xing-Rong,et al."A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models".COMPUTERS AND ELECTRONICS IN AGRICULTURE 148(2018):280-290.
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