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A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models

文献类型：期刊论文

作者Fan, Xing-Rong1,2; Wang, Xiujuan2; Kang, Mengzhen2,3; Hua, Jing2,3; Guo, Shuangsheng4; de Reffye, Philippe5; Hu, Bao-Gang6,7
刊名COMPUTERS AND ELECTRONICS IN AGRICULTURE
出版日期2018-05-01
卷号148期号:0页码:280-290
关键词Closed Ecological Life Support System Functional-structural Plant Model Knowledge-and-data-driven Model Mass Balance Model Model Evaluation And Model Verification
DOI10.1016/j.compag.2018.03.006
文献子类Article
英文摘要Modeling 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.
WOS关键词TOMATO CROP
WOS研究方向Agriculture ; Computer Science
语种英语
WOS记录号WOS:000431837900028
资助机构Chinese 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)
源URL[http://ir.ia.ac.cn/handle/173211/22038]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
通讯作者Kang, Mengzhen
作者单位1.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
推荐引用方式
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/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2018,148(0):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/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models.COMPUTERS AND ELECTRONICS IN AGRICULTURE,148(0),280-290.
MLA Fan, Xing-Rong,et al."A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models".COMPUTERS AND ELECTRONICS IN AGRICULTURE 148.0(2018):280-290.

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来源：自动化研究所

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