MengZhen Kang
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A dynamic, architectural plant model simulating resource‐dependent growth
HP YAN, MZ Kang, P De Reffye, M Dingkuhn
Annals of botany 93 (5), 591-602, 2004
Structural factorization of plants to compute their functional and architectural growth
PH Cournède, MZ Kang, A Mathieu, JF Barczi, HP Yan, BG Hu, ...
Simulation 82 (7), 427-438, 2006
Analytical study of a stochastic plant growth model: Application to the GreenLab model
MZ Kang, PH Cournède, P De Reffye, D Auclair, BG Hu
Mathematics and Computers in Simulation 78 (1), 57-75, 2008
Blockchain based provenance for agricultural products: A distributed platform with duplicated and shared bookkeeping
J Hua, X Wang, M Kang, H Wang, FY Wang
2018 IEEE intelligent vehicles symposium (IV), 97-101, 2018
From parallel plants to smart plants: intelligent control and management for plant growth
M Kang, FY Wang
IEEE/CAA Journal of Automatica Sinica 4 (2), 161-166, 2017
Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by web crawler
Y Weng, X Wang, J Hua, H Wang, M Kang, FY Wang
IEEE Transactions on Computational Social Systems 6 (3), 547-553, 2019
Managing traditional solar greenhouse with CPSS: A just-for-fit philosophy
M Kang, XR Fan, J Hua, H Wang, X Wang, FY Wang
IEEE Transactions on cybernetics 48 (12), 3371-3380, 2018
Greenlab: A new methodology towards plant functional-structural model--structural part
BG Hu, P De Reffye, X Zhao, MZ Kang
Plant growth modelling and applications, 21-35, 2003
A knowledge-and-data-driven modeling approach for simulating plant growth: A case study on tomato growth
XR Fan, MZ Kang, E Heuvelink, P De Reffye, BG Hu
Ecological Modelling 312, 363-373, 2015
Some parameter estimation issues in functional-structural plant modelling
PH Cournede, V Letort, A Mathieu, MZ Kang, S Lemaire, S Trevezas, ...
Mathematical Modelling of Natural Phenomena 6 (2), 133-159, 2011
The derivation of sink functions of wheat organs using the GREENLAB model
M Kang, JB Evers, J Vos, P De Reffye
Annals of botany 101 (8), 1099-1108, 2008
Correlation between dynamic tomato fruit-set and source–sink ratio: a common relationship for different plant densities and seasons?
MZ Kang, LL Yang, BG Zhang, P De Reffye
Annals of Botany 107 (5), 805-815, 2011
A virtual plant that responds to the environment like a real one: the case for chrysanthemum
MZ Kang, E Heuvelink, SMP Carvalho, P De Reffye
New Phytologist 195 (2), 384-395, 2012
Computational botany: advancing plant science through functional–structural plant modelling
JB Evers, V Letort, M Renton, M Kang
Annals of Botany 121 (5), 767-772, 2018
A stochastic model of tree architecture and biomass partitioning: application to Mongolian Scots pines
F Wang, M Kang, Q Lu, V Letort, H Han, Y Guo, P De Reffye, B Li
Annals of Botany 107 (5), 781-792, 2011
Building virtual chrysanthemum based on sink-source relationships: Preliminary results
MZ Kang, E Heuvelink, P de Reffye
III International Symposium on Models for Plant Growth, Environmental …, 2006
Modelling product quality in horticulture: an overview
E Heuvelink, P Tijskens, MZ Kang
International Workshop on Models for Plant Growth and Control of Product …, 2003
Two decades of research with the GreenLab model in agronomy
P De Reffye, B Hu, M Kang, V Letort, M Jaeger
Annals of Botany 127 (3), 281-295, 2021
An optimal control methodology for plant growth—Case study of a water supply problem of sunflower
L Wu, FX Le Dimet, P De Reffye, BG Hu, PH Cournède, MZ Kang
Mathematics and computers in simulation 82 (5), 909-923, 2012
Stochastic 3D tree simulation using substructure instancing
MZ Kang, P De Reffye, JF Barczi, BG Hu, F Houllier
Plant Growth Modeling and Applications, 154-168, 2003
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