A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 4 Issue 2
Apr.  2017

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 7.847, Top 10% (SCI Q1)
    CiteScore: 13.0, Top 5% (Q1)
    Google Scholar h5-index: 64, TOP 7
Turn off MathJax
Article Contents
Mengzhen Kang and Fei-Yue Wang, "From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 161-166, Apr. 2017. doi: 10.1109/JAS.2017.7510487
Citation: Mengzhen Kang and Fei-Yue Wang, "From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 161-166, Apr. 2017. doi: 10.1109/JAS.2017.7510487

From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth

doi: 10.1109/JAS.2017.7510487

This work was supported by the National High Technology Research and Development Program (863 program) of China 2012AA101906-2

the National Natural Science Foundation of China 3140030594

More Information
  • Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. Expert systems are expected to aid farmers in plant management or environment control, but they are mostly based on the offline and static information, deviated from the actual situation. Parallel management, achieved by virtual/artificial agricultural system, computational experiment and parallel execution, provides a generic framework of solution for online decision support. In this paper, we present the three steps toward the parallel management of plant: growth description (the crop model), prediction, and prescription. This approach can update the expert system by adding learning ability and the adaption of knowledge database according to the descriptive and predictive model. The possibilities of passing the knowledge of experienced farmers to younger generation, as well as the application to the parallel breeding of plant through such system, are discussed.


  • loading
  • [1]
    P. C. Robert, "Precision agriculture: a challenge for crop nutrition management, " Plant Soil, vol. 247, no. 1, pp. 143-149, Nov. 2002.
    R. Gebbers and V. I. Adamchuk, "Precision agriculture and food security, " Science, vol. 327, no. 5967, pp. 828-831, Feb. 2010.
    G. van Straten, H. Challa, and F. Buwalda, "Towards user accepted optimal control of greenhouse climate, " Comput. Electron. Agric., vol.26, no.3, pp.221-238, May2000. doi: 10.1016/S0168-1699(00)00077-6
    C. T. de Wit, "Photosynthesis of leaf canopies, " Agricultural Research Reports, no.663, 1965. https://www.researchgate.net/publication/241870363_Photosynthesis_of_Leaf_Canopies
    L. F. M. Marcelis, E. Heuvelink, and J. Goudriaan, "Modelling biomass production and yield of horticultural crops: a review, " Sci. Hort. , vol. 74, no. 1-2, pp. 83-111, Apr. 1998.
    C. A. Medina-Ruíz, I. A. Mercado-Luna, G. M. Soto-Zarazúa, I. Torres-Pacheco, and E. Rico-García, "Mathematical modeling on tomato plants: A review, " Afr. J. Agr. Res. , vol. 6, no. 33, pp. 6745-6749, Dec. 2011.
    B. H. E. Vanthoor, C. Stanghellini, E. J. van Henten, and P. H. B. de Visser, "A methodology for model-based greenhouse design: Part 1, a greenhouse climate model for a broad range of designs and climates, " Biosyst. Eng. , vol. 110, no. 4, pp. 363-377, Dec. 2011.
    B. H. E. Vanthoor, P. H. B. de Visser, C. Stanghellini, and E. J. van Henten, "A methodology for model-based greenhouse design: Part 2, description and validation of a tomato yield model, " Biosyst. Eng. , vol. 110, no. 4, pp. 378-395, Dec. 2011.
    F. Rodríguez, L. J. Yebra, M. Berenguel, and S. Dormido, "Modelling and simulation of greenhouse climate using dymola, " in Proc. 15th Triennial World Congress, Barcelona, Spain, 2002. https://www.researchgate.net/publication/242737053_MODELLING_AND_SIMULATION_OF_GREENHOUSE_CLIMATE_USING_DYMOLA
    I. Impron, S. Hemming, and G. P. A. Bot, "Simple greenhouse climate model as a design tool for greenhouses in tropical lowland, " Biosyst. Eng. , vol. 98, no. 1, pp. 79-89, Sep. 2007.
    S. L. Speetjens, J. D. Stigter, and G. Van Straten, "Towards an adaptive model for greenhouse control, " Comput. Electron. Agric. , vol. 67, no. 1-2, pp. 1-8, Jun. 2009.
    X. J. Yan, W. R. Wang, and J. P. Liang, "Application mode construction of internet of things (IOT) for facility agriculture in Beijing, " Trans. CSAE, vol. 28, no. 4, pp. 149-154, Feb. 2012.
    J. C. Aker, "Dial "A" for agriculture: a review of information and communication technologies for agricultural extension in developing countries, " Agric. Econom. , vol. 42, no. 6, pp. 631-647, Nov. 2011.
    D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, and D. Hassabis, "Mastering the game of Go with deep neural networks and tree search, " Nature, vol. 529, no. 7587, pp. 484-489, Jan. 2016.
    I. H. Witten, E. Frank, M. A. Hall, and C. J. Pal, Data Mining: Practical Machine Learning Tools and Techniques (Fourth Edition). Morgan Kaufmann, 2016. http://www.doc88.com/p-3127644122935.html
    F. Y. Wang, "Parallel control: A method for data-driven and computational control, " Acta Automat. Sinica, vol. 39, no. 4, pp. 293-302, Apr. 2013.
    J. T. Ritchie, U. Singh, D. C. Godwin, and W. T. Bowen, "Cereal growth, development and yield, " in Understanding Options for Agricultural Production, G. Y. Tsuji, G. Hoogenboom, and P. K. Thornton, Eds. Netherlands: Springer, 1998, pp.79-98.
    H. Gijzen, E. Heuvelink, H. Challa, L. F. M. Marcelis, E. Dayan, S. Cohen, and M. Fuchs, "Hortisim: a model for greenhouse crops and greenhouse climate, " Acta Hort. , vol. 456, pp. 441-450, Jan. 1998.
    J. B. Evers, J. Vos, X. Yin, P. Romero, P. E. L. van der Putten, and P. C. Struik, "Simulation of wheat growth and development based on organ-level photosynthesis and assimilate allocation, " J. Exp. Bot. , vol. 61, no. 8, pp. 2203-2216, Mar. 2010.
    H. P. Yan, M. Z. Kang, P. De Reffye, and M. Dingkuhn, "A dynamic, architectural plant model simulating resource-dependent growth, " Ann. Bot., vol.93, no.5, pp.591-602, May2004. doi: 10.1093/aob/mch078
    P. -H. Cournéde, V. Letort, A. Mathieu, M. -Z. Kang, S. Lemaire, S. Trevezas, F. Houllier, and P. de Reffye, "Some parameter estimation issues in functional-structural plant modelling, " Math. Model. Nat. Pheno. , vol. 6, no. 2, pp. 133-159, Mar. 2011.
    M. -Z. Kang, L. -L. Yang, B. -G. Zhang, and P. de Reffye, "Correlation between dynamic tomato fruit-set and source-sink ratio: a common relationship for different plant densities and seasons?, " Ann. Bot. , vol. 107, no. 5, pp. 805-815, Apr. 2011.
    M. Z. Kang, E. Heuvelink, S. M. P. Carvalho, and P. de Reffye, "A virtual plant that responds to the environment like a real one: the case for chrysanthemum, " New Phytol. , vol. 195, no. 2, pp. 384-395, Jul. 2012.
    M.-Z. Kang, J.-B. Evers, J. Vos, and P. de Reffye, "The derivation of sink functions of wheat organs using the GREENLAB model, " Ann. Bot., vol.101, no.8, pp.1099-1108, May2008. https://www.researchgate.net/publication/40095621_The_derivation_of_sink_functions_of_wheat_organs_using_the_GREENLAB_model
    Y. Ma, M. Wen, Y. Guo, B. Li, P.-H. Cournede, and P. de Reffye, "Parameter optimization and field validation of the functional-structural model GREENLAB for maize at different population densities, " Ann. Bot., vol.101, no.8, pp.1185-1194, May2008. http://publications.cirad.fr/une_notice.php?dk=546303
    F. -Y. Wang, "From parallel plants to parallel agriculture: a data driven and computational approach for next generation smart agricultural systems, " Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China, Tech. Rep. Jul. 2006.
    X. -R. Fan, M. -Z. Kang, E. Heuvelink, P. de Reffye, and B. -G. Hu, "A knowledge-and-data-driven modeling approach for simulating plant growth: A case study on tomato growth, " Ecolog. Model. , vol. 312, pp. 363-373, Sep. 2015.
    F. -Y. Wang, J. Zhang, Q. L. Wei, X. H. Zheng, and L. Li, "PDP: Parallel dynamic programming, " IEEE/CAA J. Automat. Sinica, vol. 4, no. 1, pp. 1-5, Jan. 2017.
    A. A. Feng and N. R. Gohel, "Real-time user profile platform for targeted online advertisement and personalization, " U. S. Patent 20080015878, Jan. 17, 2008.
    F. -Y. Wang, "Artificial plant systems: from computer simulations to computational experiments, " Center for Intelligent Control and Systems Engineering, Chinese Academy of Sciences (CASIA), Beijing, China, Tech. Rep. Sep. 2001.
    J. Dury, N. Schaller, F. Garcia, A. Reynaud, and J. E. Bergez, "Models to support cropping plan and crop rotation decisions: A review, " Agron. Sustain. Dev. , vol. 32, no. 2, pp. 567-580, Apr. 2012.
    L. M. R. dos Santos, P. Michelon, M. N. Arenales, and R. H. S. Santos, "Crop rotation scheduling with adjacency constraints, " Ann. Oper. Res. , vol. 190, no. 1, pp. 165-180, Oct. 2011.
    L. Wu, F. -X. Le Dimet, P. de Reffye, B. -G. Hu, P. -H. Cournéde, and M. -Z. Kang, "An optimal control methodology for plant growth-case study of a water supply problem of sunflower, " Math. Comput. Simulat. , vol. 82, no. 5, pp. 909-923, Jan. 2012.
    A. Doucet, N. de Freitas, and N. Gordon, Sequential Monte Carlo Methods in Practice. New York: Springer-Verlag, 2001.
    M. Z. Kang, T. Corpetti, J. Hua, and P. de Reffye, "Reconstructing LAI series by filtering technique and a dynamic plant model, " in Remote Sensing of Biomass-Principles and Applications, T. Fatoyinbo, Ed. InTech Press, 2012, pp. 217-228.
    F. Y. Wang, "The emergence of intelligent enterprises: From CPS to CPSS, " IEEE Intell. Syst. , vol. 25, no. 4, pp. 85-88, Jul. --Aug. 2010.
    V. Letort, P. Mahe, P.-H. Cournéde, P. de Reffye, and B. Courtois, "Quantitative genetics and functional-structural plant growth models: Simulation of quantitative trait loci detection for model parameters and application to potential yield optimization, " Ann. Bot., vol.101, no.8, pp.1243-1254, May2008. http://www.oalib.com/paper/4098707


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索


    Article Metrics

    Article views (1535) PDF downloads(410) Cited by()


    DownLoad:  Full-Size Img  PowerPoint