| 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 | 389 | 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 | 145 | 2006 |
| 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 | 131 | 2019 |
| 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 | 116 | 2018 |
| 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 | 103 | 2008 |
| 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 | 100 | 2017 |
| 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 | 79 | 2018 |
| 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 | 72 | 2015 |
| Greenlab: A new methodology towards plant functional-structural model--structural part BG Hu, P De Reffye, X Zhao, HP Yan, MZ Kang Plant growth modelling and applications, 21-35, 2003 | 66 | 2003 |
| 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 | 57 | 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 | 57 | 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 | 53 | 2011 |
| 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 | 51 | 2018 |
| Pruning robot system Z Shen, M Kang, J Li, F Wang US Patent 10,278,333, 2019 | 48 | 2019 |
| 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 | 46 | 2012 |
| The development of AgriVerse: Past, present, and future M Kang, X Wang, H Wang, J Hua, P de Reffye, FY Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (6), 3718-3727, 2023 | 41 | 2023 |
| 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 | 39 | 2021 |
| DeCASA in AgriVerse: Parallel agriculture for smart villages in metaverses X Wang, M Kang, H Sun, P de Reffye, FY Wang IEEE/CAA Journal of Automatica Sinica 9 (12), 2055-2062, 2022 | 37 | 2022 |
| 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 | 30 | 2011 |
| Machine learning versus crop growth models: an ally, not a rival N Zhang, X Zhou, M Kang, BG Hu, E Heuvelink, LFM Marcelis AoB Plants 15 (2), plac061, 2023 | 27 | 2023 |
heuvelink, eAssociate professor of Greenhouse crop physiology and modelling, Wageningen UniversityVerified email at wur.nl
