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Introduction

• cPlant,formerly known as GreenLab, which was a LIAMA project launched in 1998, is Associate Team of INRIA Digiplant Project.
• The cPlant team focuses on modeling plant growth and development, developing and applying GreenLab model for different kinds of applications, by using methods from mathematics, automation,software engineering, machine learning, computer graphics, and rendering techniques.

• cPlant，前身为GreenLab，是1998年启动的LIMA项目，是INRIA Digiplant项目的副团队。
• cPlant 团队专注于对植物生长和发展进行建模，通过使用数学、自动化、软件工程、机器学习、计算机图形学和渲染技术的方法，为不同类型的应用程序开发和应用 GreenLab 模型。

Publication

期刊论文

2023

1. Jing Hua, Haoyu Wang, Mengzhen Kang*, Xiujuan Wang*, Shaoxin Guo, Fangle Chang and Fei-Yue Wang. The design and implementation of a distributed agricultural service system for smallholder farmers in China. International Journal of Agricultural Sustainability, 2023, 21 (1): 2221108【SCI】

2. Mengzhen Kang, Xiujuan Wang, Haoyu Wang, Jing Hua, Philippe de Reffye, Fei-Yue Wang. The Development of AgriVerse: Past, Present, and Future. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(6): 3718-3727. doi: 10.1109/TSMC.2022.3230830.

2022

3. Xiaoxuan Zhao, Yingqi Han, Udom Lewlomphaisarl, Haoyu Wang, Jing Hua, Xiujuan Wang, and Mengzhen Kang*. Parallel Control of Greenhouse Climate with a Transferable Prediction Model. IEEE Journal of Radio Frequency Identification, 2022, 6: 857-861. 【SCI】

4. Xiujuan Wang, Mengzhen Kang*, Hequna Sun, et al., DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses. IEEE/CAA Journal of Automatica Sinica, 2022, 9(12): 2055-2062. 【SCI】

5. Ningyi Zhang, Xiaohan Zhou, Mengzhen Kang, Bao-Gang Hu, Ep Heuvelink, Leo F.M. Marcelis1, Machine learning versus crop models: an ally, not a rival. AoB Plant, AoB PLANTS, 2023, 15(2): plac061, https://doi.org/10.1093/aobpla/plac061.【SCI】

6. Haoyu Wang, Jing Hua, Mengzhen Kang*, Xiujuan Wang*, Xing-Rong Fan, Thierry Fourcaud and Philippe de Reffye, Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach. Frontiers in Plant Sciences, 2022, 13:971690.【SCI】

7. Adji, B.I., Akaffou, D.S., Letort, V., Kang, M.Z., Wang, X.J., Jaeger, M., De Reffye, P., Kouassi, K.H., Houphouet, Y.P., Duminil, J., Caraglio, Y.and Sabatier, S. The Architectural Unit Setting up and Architectural Characteristics of Néré, Parkia biglobosa, Jack, R.Br. (Fabaceae). American Journal of Plant Sciences, 2022, 13: 109-136. 【SCI】

2021

8. Menghan Fan, Mengzhen Kang*, Xiujuan Wang, Jing Hua, Chaoxing He, Fei-Yue Wang. Parallel crop planning based on price forecast. International Journal of Intelligent System. 2021, 1‐22. doi:10.1002/int.22739【SCI】

9. Mengzhen Kang, Xiujuan Wang, Rui Qia, Zhi-Qi Jia, Philippe de Reffye and San-Wen Huang. 2021. Analyzing and optimizing yield formation of tomato introgression lines using plant model. Euphytica, 2021, 217:100. https://doi.org/10.1007/s10681-021-02834-8. 【SCI】

2020

10. Philippe de Reffye, Baogang Hu, Mengzhen Kang, Véronique Letort, Marc Jaeger. Two decades of research with the GreenLab model in Agronomy: A review. Annals of Botany, 2020, 127(3): 281-295. doi: 10.1093/aob/mcaa172.【SCI】

11. Xiujuan Wang, Mengzhen Kang*, Lili Yang, Baogui Zhang, Sanwen Huang, Philippe de Reffye. 2020. What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F1 hybrid? Journal of Integrative Agriculture, 2020, 19(7): 1789–1801. 【SCI】

2019

12. Yuchen Weng, Xiujuan Wang, Jing Hua, Haoyu Wang, Mengzhen Kang and Fei-yue Wang. Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler. IEEE Transactions on Computational Social Systems. 2019, 6(3): 547-553. 【SCI】

2018

13. Mengzhen Kang, Jing Hua, Xiujuan Wang*, Philippe de Reffye, Marc Jageger, Sélastique Akaffou. Estimating Parameters of Stochastic Functional-Structural Plant Models by Organic Series: from Virtual and Real Plants. Frontiers in Plant Science, 2018, 9:1688.【SCI】

14. Thomas Corpetti, Xing Gong, Mengzhen Kang, Bao-Gang Hu, Laurence Hubert-Moy. Time-consistent estimation of LAI by assimilation in GreenLab plant growth model. Computers & Geosciences, 2018, 130: 57-68. 【SCI】

15. Mengzhen Kang, Xing-Rong Fan, Jing Hua, Haoyu Wang, Xiujuan Wang, and Fei-Yue Wang. Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy. IEEE Transactions on Cybernetics, 2018, 48(12): 3371 – 3380. 【SCI】

16. Xing-Rong Fan, MengZhen Kang*, Xiujuan Wang, Jing Hua, Shuangsheng Guo, Philippe de Reffye and Bao-Gang Hu. A knowledge-and-data-driven modeling approach for simulating plant growth and dynamics of CO2/O2 concentration in a closed system of plant and human being. Computers and Electronics in Agriculture, 2018, 148: 280-290.【SCI】

17. Jochem B Evers*, Veronique Letort, Michael Renton, Mengzhen Kang. Computational botany: advancing plant science through functional–structural plant modelling, Annals of Botany, 2018, 121(5), 767–772. 【SCI】

2017

18. Mengzhen Kang and Fei-Yue Wang. From parallel plants to smart plants: intelligent control and management for plant growth. IEEE/CAA Journal of Automatica Sinica, 2017. 4(2): 161-166. doi: 10.1109/JAS.2017.7510487. 【SCI】

19. Marie Elodie Vavitsara, Sylvie Sabatier, MengZhen Kang, Hery Lisy Tiana Ranarijaona, and Philippe de Reffye. Yield analysis as a function of stochastic plant architecture. Computers in Electronic Agriculture, 2017. 138: 105–116. https://doi.org/10.1016/j.compag.2017.04.012. 【SCI】

2015

20. Xingrong Fan, Mengzhen Kang, Ep Heuvelink, Philippe De Reffye, Bao-Gang Hu. A Knowledge-and-Data Driven Modeling Approach for Simulating Plant Growth: A Case Study on Tomato Growth. Ecological Modelling, 2015. 312:363-373. 【SCI】

2012

21. MengZhen Kang, Ep Heuvelink, Susana M. P. Carvalho, Philippe de Reffye. A virtual plant that responds to the environment like a real one: the case for chrysanthemum. New Phytologist, 2012. 195: 384–395【SCI】

22. Lin Wu, F.-X. Le Dimet, P. de Reffye, B.-G. Hug, P-H Courn`ede, M.-Z. Kang. An optimal control methodology for plant growth – Case study of a water supply problem of sunflower. Mathematics and Computers in Simulation, 2012. 82: 09–923. 【SCI】

23. Philippe de Reffye, MengZhen Kang*, Jing Hua, Daniel Auclair. Stochastic modelling of tree annual shoot dynamics. Annals of Forest Sciences, 2012. 69 (2): 3-165.【SCI】

24. Meng Zhen Kang, Thomas Corpetti, Jing Hua and Philippe de Reffye. Reconstructing LAI Series by Filtering Technique and a Dynamic Plant Model. In: Remote Sensing of Biomass – Principles and Applications. 217-228.

2011

25. Gang Yang, Weiqun Cao, Dongxiang Liu, MengZhen Kang, Veronique Letort, Meijun Xing, Xinyuan Huang. Growth and development simulation based on functional-structural model GreenLab for poplar (Salicaceae). African Journal of Agricultural Research, 2011. 6(13): 3071-3077.【SCI】

26. P.-H. Cournede, V. Letort, A. Mathieu, M.Z. Kang, S. Lemaire, S. Trevezas, F. Houllier, P. de Reffye. Some Parameter Estimation Issues in Functional-Structural Plant Modelling. Mathematical Modelling of Natural Phenomena, 2011. 6: 133-159. 【SCI】

27. MengZhen Kang, LiLi Yang, BaoGui Zhang, Philippe de Reffye. Correlation between Dynamic Tomato Fruit Set and Source Sink Ratio: A Common Relationship for Different Plant Densities and Seasons? Annals of Botany, 2011. 107 (5): 805-815. doi: 10.1093/aob/mcq244. 【SCI】

2010

28. Feng Wang, Mengzhen Kang, Qi Lu, Hui Han, Véronique Letort, Yan Guo, Philippe de Reffye, Baoguo Li. A stochastic model of tree architecture and biomass partitioning: application to Mongolian Scots pines. Annals of Botany, 2010. 107(5): 781-792. doi: 10.1093/aob/mcq218.【SCI】

29. Mengzhen Kang, Lili Yang, Bangyou Zhang, Philippe de Reffye. Correlation between dynamic tomato fruit-set and source-sink ratio: a common relationship for different plant densities and seasons? Annals of Botany, 2011. 107(5):805-15. doi: 10.1093/aob/mcq244.

30. Rui Qi, Yuntao Ma, Baogang Hu, Philippe de Reffye, Paul-Henry Cournède. Optimization of source–sink dynamics in plant growth for ideotype breeding: A case study on maize. Computers and Electronics in Agriculture, 2010. 71(1): 96-105. https://doi.org/10.1016/j.compag.2009.12.008. 【SCI】

31. Feng Wang, Mengzhen Kang, Q. Lu, Verionique Letort, H. Han, Yan Guo, Philippe de Reffye, Baoguo Li. A stochastic model of tree architecture and biomass partitioning: application to Mongolian Scots pines. Annals of Botany, 2011. 107(5):781-92. doi: 10.1093/aob/mcq218. 【SCI】

2009

32. Rui Qi, Veronique Letort, Mengzhen Kang, Paul-Henry Cournède, Philippe de Reffye, Thierry Fourcaud. Application of the GreenLab model to simulate and optimize wood production and tree stability: a theoretical study. Silva Fennica, 2009. 43(3): 465–487.【SCI】

33. Rui Qi, Veronique Letort, Mengzhen Kang, Paul-Henry Cournède, Philippe De Reffye, Thierry Fourcaud. Application of the GreenLab Model to Simulate and Optimize Wood Production and Tree Stability: A Theoretical Study. Silva Fennica, 2009. 43(3): 465-487. Doi: 10.14214/sf.201.【SCI】

2008

34. Mengzhen Kang, J. B. Evers, Jan Vos, Philippe. de Reffye. The derivation of sink functions of wheat organs using the GreenLab model. Annals of Botany, 2008. 101: 1099-1108.【SCI】

35. Mengzhen Kang, Paul-Henry Cournède, Philippe de Reffye, Bao-Gang Hu. Analytic Study of a Stochastic Plant Architectural Model: Application to the GreenLab Model. Mathematics and Computers in Simulation. Mathematics and Computers in Simulation, 2008. 78: 57-75, 2008. 【SCI】

36. Yuntao Ma, Meiping Wen, Yan Guo, Baoguo Li, Paul-Henry Cournède, Philippe de Reffye. Parameter optimization and field validation of the functional-structural model GREENLAB for maize at different population densities. Annals of Botany, 2008. 101(8):1185-94. doi: 10.1093/aob/mcm233. 【SCI】

37. Qiaoxue Dong, Gaëtan Louarn, Yiming Wang, Jean-Francois Barczi, Philippe de Reffye. Does the structure-function model GREENLAB deal with crop phenotypic plasticity induced by plant spacing? A case study on tomato. Annals of Botany, 2008. 101(8):1195-206. doi: 10.1093/aob/mcm317. 【SCI】

2007

38. Yuntao Ma, Baoguo Li, Zhigang Zhan, Yan Guo, Delphine Luquet, Philippe de Reffye, Michael Dingkuhn. Parameter Stability of the Functional–Structural Plant Model GREENLAB as Affected by Variation within Populations, among Seasons and among Growth Stages. Annals of Botany, 2007, 99(1): 61-73.

2006

39. Mengzhen Kang, Ep Heuvelink, Philippe de Reffye. Building Virtual Chrysanthemum by Calibrating GreenLab Model-a Preliminary Study. Acta Horticulturae, 2006. 718: 129-136 【SCI】

40. Paul-Henry Cournède, Mengzhen Kang, Amèlie Mathieu, Hongping Yan, Bao-Gang Hu, Philippe de Reffye. Structural Factorization of Plants to Compute their Functional and Structural Growth. Simulation. Transactions of the Society for Modelling and Simulation International, 82 (7): 427–438.

2004

41. Hongping Yan, Mengzhen Kang, Philippe de Reffye and Michale Dingkuhn. A Dynamic, Architectural Plant Model Simulating Resource Dependent Growth. Annals of Botany, 2004. 93: 591-602

42. Ep Heuvelink, Paul Tijskens, Mengzhen Kang. Modelling Product Quality in Horticulture. Acta Horticulturae, 2004. 654: 19-30【SCI】

2000

43. Mengzhen Kang, Yanjun Zeng, Jangang Liu. Fractal research on red blood cell aggregation. Clinical Hemorheology and Microcirculation, 2000. 22: 229-236

Software

GreenScilab

The GreenScilab software needs Scilab environment.

Scilab can be downloaded from www.scilab.org.cn(LIAMA, Chinese mirror), or from www.scilab.org(INRIA, France).

Versions of GreenScilab_Crop Latest version of GreenScilab for Crop: GreenScilab-CropV1.0_Web.zip (updated 2010/06/28)

Festures: for plants with one phytomer per growth unit (mainly crops), nice interface, yet still need to be tested! New parameter file and data file will follow.

Versions of GreenScilab

Latest version of GreenScilab:GreenScilab-CropV1.0_Web.zip (updated 2009/10/22)

Corresponding tutorial:tutorialgreenscilab1.0.pdf

GreenScilab Version 1 for Tomato Plant:greenscilabv1.0_tomato_2010.zip (updated 2010/06/12)

Corresponding tutorial: :projects:greenscilab:for_gsl1_tomato.pdf

GreenScilab Version 1 for chyrsanthemum:greenscilabv1_chyrsanthemum.zip(updated 2010/05/18)

Corresponding tutorial: greenscilab:for_gsl1_chyrsanthemum.pdf

GreenScilab Version 2 for Pine Tree:GreenScilabV2.0_Pine.zip(updated 2010/05/18)

Corresponding tutorial: greenscilab:for_gsl2_pine.pdf

GreenScilab软件需要Scilab环境。

Scilab可以从 www.scilab.org.cn（LIAMA，中文镜像）或 www.scilab.org（INRIA，法国）下载。

GreenScilab_Crop的版本 最新版本的GreenScilab for Crop： GreenScilab-CropV1.0_Web.zip （更新 2010/06/28）

Festures：对于每个生长单位具有一种植物体的植物（主要是作物），界面不错，但仍需要测试！新的参数文件和数据文件将随之而来。

GreenScilab 的版本

最新版本的GreenScilab：GreenScilab-CropV1.0_Web.zip （更新 2009/10/22） 对应教程：tutorialgreenscilab1.0.pdf

GreenScilab版本 1 番茄植株：greenscilabv1.0_tomato_2010.zip （更新 2010/06/12） 对应教程：projects：greenscilab：for_gsl1_tomato.pdf

GreenScilab 1 版菊花：greenscilabv1_chyrsanthemum.zip（更新 2010/05/18） 对应教程：GreenScilab：for_gsl1_chyrsanthemum.pdf

松树GreenScilab版本2：GreenScilabV2.0_Pine.zip（更新日期2010/05/18） 对应教程：GreenScilab：for_gsl2_pine.pdf

QingYuan

Based on Functional-Structural Plant model Greenlab, cPlant team developed two softwares named ‘GreenScilab’ and ‘Qingyuan’. ‘GreenScilab’ can simulate many crops, such as tomato, cucumber, chrysanthemum and maize, and these crops have been calibrated with the experimental data. ‘Qingyuan’ can simulate trees, like albizia, ginkgo, pine and orange.

基于功能结构工厂模型Greenlab，cPlant团队开发了两个软件，分别名为“GreenScilab”和“清远”。“GreenScilab”可以模拟番茄、黄瓜、菊花、玉米等多种作物，这些作物已经用实验数据进行了校准。“清远”可以模拟树木，如白桦、银杏、松树和橙子。

Team

Mengzhen Kang

Ph.D.

LIAMA & Lab of Complex System

Institute of Automation

Chinese Academy of Sciences

Beijing, 100190 China

Phone: +86 -10-62647457

Fax: +86 -10-62647458

E-mail: [email protected]

Research Interests

Intelligent systems, pattern recognition, plant growth modeling.

Employment History

2006 ~ :LIAMA (Sino-French Laboratory in Computer Science, Automation and Applied Mathematics), Institute of Automation, Chinese Academy of Sciences, BeiJing, China

July 1998 - 2006:College of Information Engineering, Capital Normal University

Education

Sept. 2000 - Sept. 2003，Doctor degree in ‘Pattern Recognition and Intelligent System’，Sino-French Laboratory in Computer Science, Automation and Applied Mathematics(LIAMA), Institute of Automation, Chinese Academy of Sciences,BeiJing, China

Sept. 1995- July 1998,Master degree in ‘Biomechanics’,BeiJing Polytechnic Univ., BeiJing, China

Bachelor degree in ‘Mechanical Design and Manufacture’,Department of Mechanical Engineering, ShanDong Building Material Institute, ShanDong Province, China

Sept. 1988- July 1991,WuLin Middle School, FengHua, ZheJiang Province,China

Sept. 1985- July 1988,TingXia Middle School, FengHua, ZheJiang Province,China

Sept. 1980- July 1985,KangLin Primary School

PostDoc Experience

Sept.2005 - Mar. 2006,PostDoc in INRIA, France

Dec. 2004 - May 2005,PostDoc in group HPC(Horticultural Production Chains) and CWE(Crop and Weed Ecology), Department of Plant Sciences, Wageningen University, the Netherlands.

June 2004 – Dec. 2004,PostDoc in INRIA (The National Institute for Research in Computer Science and Control), France.

康孟珍

博士

LIAMA & 实验室 复杂系统

实验室 中国科学院

自动化研究所 北京， 100190

电话： +86 -10-62647457

传真： +86 -10-62647458

邮箱： [email protected]

研究方向

智能系统、模式识别、植物生长建模。

工作经历

2006年至今，在中国科学院自动化研究所的中法计算机科学、自动化和应用数学联合实验室（LIAMA）工作，位于中国北京。

从1998年7月至2006年，在首都师范大学信息工程学院工作。

教育

2000年9月至2003年9月，在中国科学院自动化研究所自动化研究院的中法计算机科学、自动化和应用数学联合实验室（LIAMA）攻读博士学位，专业为“模式识别与智能系统”。

1995年9月至1998年7月，在北京工业大学攻读硕士学位，专业为“生物力学”。 本科学位在山东省建材学院机械工程系获得，专业为“机械设计与制造”。

1988年9月至1991年7月，在浙江省奉化市五林中学就读。

1985年9月至1988年7月，在浙江省奉化市汀下中学就读。

1980年9月至1985年7月，在康林小学就读。

博士后经历

2005年9月至2006年3月，在法国INRIA进行博士后研究。

2004年12月至2005年5月，在荷兰瓦赫宁根大学植物科学系的HPC（园艺生产链）和CWE（作物与杂草生态学）研究小组进行博士后研究。

2004年6月至2004年12月，在法国国家计算机科学和控制研究所INRIA进行博士后研究。

Ling Zhang

实习生

研究方向

Zhiqing Liu

实习生

研究方向： 计算机视觉与图像处理

Contact

Address

Institute of Automation, Chinese Academy of Sciences

95 Zhongguancun Donglu, Haidian District

Beijing, 100190, China

Contact

MengZhen KANG [email protected]

Jing Hua [email protected]

Xiujuan Wang [email protected]