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CASIA OpenIR
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Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：218/120  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Simulating Tree Plasticity with a Functional-Structural Plant Model: Being Realistic in Behavior 会议论文
, Venice, Italy, Oct.27-Nov.1,2013
作者:  Haoyu Wang;  Jing Hua;  Mengzhen Kang;  Xiujuan Wang;  Philippe de Reffye;  Baogang Hu
Adobe PDF(1219Kb)  |  收藏  |  浏览/下载：45/14  |  提交时间：2023/05/05
Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by Web crawler 期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 期号: 3, 页码: 547-553
作者:  Weng, Yuchen;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Wang, Fei-yue
浏览  |  Adobe PDF(1374Kb)  |  收藏  |  浏览/下载：390/187  |  提交时间：2020/06/08
Web crawler  cucumber  agricultural CPSS framework  ARIMA model  neural network  price forecasting  
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 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 期号: -, 页码: 280-290
作者:  Fan, Xing-Rong;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Guo, Shuangsheng;  de Reffye, Philippe;  Hu, Bao-Gang
浏览  |  Adobe PDF(827Kb)  |  收藏  |  浏览/下载：379/99  |  提交时间：2019/12/16
Closed Ecological Life Support System  Functional-structural Plant Model  Knowledge-and-data-driven Model  Mass Balance Model  Model Evaluation  And Model Verification  
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 期号: 1688, 页码: 1-17
作者:  Kang, Mengzhen;  Hua, Jing;  Wang, Xiujuan;  de Reffye, Philippe;  Jaeger, Marc;  Akaffou, Selastique
浏览  |  Adobe PDF(3548Kb)  |  收藏  |  浏览/下载：368/66  |  提交时间：2019/07/12
greenlab  inverse method  source-sink parameters  functional-structural plant model  stochastic development  parameter estimation  
Some Parameter Estimation Issues in Functional-Structural Plant Modelling 期刊论文
Mathematical Modelling of Natural Phenomena, 2011, 卷号: 6, 期号: 2, 页码: 133-159
作者:  Cournede, Paul-Henry;  Letort, Veronique;  Mathieu, Amelie;  Kang, Mengzhen;  Lemaire, S.;  Trevezas, S.;  Houllier, F.;  de Reffye, Philippe
浏览  |  Adobe PDF(750Kb)  |  收藏  |  浏览/下载：223/64  |  提交时间：2018/10/19
Functional-structural Plant Models  Carbon Allocation  Greenlab  Maximum Likelihood Estimator  
Management of Crop Pruning Assisted by Computational Experiment 会议论文
, Hongkong, 2011-2
作者:  Hua, Jing;  Kang, Mengzhen
Adobe PDF(173Kb)  |  收藏  |  浏览/下载：111/46  |  提交时间：2018/10/19
Fitting a Functional Structural Plant Model based on Global Sensitivity Analysis 会议论文
, Seoul, Korea, 2012-8
作者:  Lin, Yubin;  Kang, Mengzhen;  Hua, Jing
Adobe PDF(452Kb)  |  收藏  |  浏览/下载：158/52  |  提交时间：2018/10/19
Parameter identification of plant growth models with stochastic development 会议论文
, Qingdao, China, 2016-11
作者:  Kang, Mengzhen;  Hua, Jing;  de Reffye, Philippe;  Jaeger, Marc
Adobe PDF(1016Kb)  |  收藏  |  浏览/下载：284/78  |  提交时间：2018/10/19
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 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 期号: 0, 页码: 280-290
作者:  Fan, Xing-Rong;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Guo, Shuangsheng;  de Reffye, Philippe;  Hu, Bao-Gang
浏览  |  Adobe PDF(827Kb)  |  收藏  |  浏览/下载：405/96  |  提交时间：2018/10/10
Closed Ecological Life Support System  Functional-structural Plant Model  Knowledge-and-data-driven Model  Mass Balance Model  Model Evaluation  And Model Verification