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 | |
发表期刊 | COMPUTERS AND ELECTRONICS IN AGRICULTURE |
ISSN | 0168-1699 |
2018-05-01 | |
卷号 | 148期号:-页码:280-290 |
文章类型 | Article |
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. |
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 |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
DOI | 10.1016/j.compag.2018.03.006 |
关键词[WOS] | TOMATO CROP |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 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) |
WOS研究方向 | Agriculture ; Computer Science |
WOS类目 | Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications |
WOS记录号 | WOS:000431837900028 |
出版者 | ELSEVIER SCI LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/28156 |
专题 | 复杂系统管理与控制国家重点实验室_平行智能技术与系统团队 |
通讯作者 | Kang, Mengzhen; Guo, Shuangsheng |
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 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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/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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