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Complex Systems Modelling for Virtual Agriculture

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Practical Applications of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

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Abstract

Agriculture is a key development for survival of all the human beings. When the population is increased while the arable land surface is reduced, emerging technologies are greatly required to improve agricultural productions. One of the emerging research domain that could contribute to this improvement is computational plant modelling, which treats plants as complex systems and uses simulations to carry out virtual experiments as an alternative to the time- and resource- consuming real-world investigations. Plant models could focus on different levels progressing from atoms to the whole atmosphere. Architectural models and functional-structural models, mainly addressing the organ-level development and function, have been widely developed against problems in agricultural practice. However, almost all the current plant models and supporting software tools are not user-friendly enough, leaving an interval for us to fill before virtual agriculture becomes more “real” and “realistic”.

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Authors and Affiliations

  1. School of Computer Engineering, Weifang University, Weifang, 261061, Shandong, China

    Lei Zhang & Liqi Han

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  1. Lei Zhang
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  2. Liqi Han
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Correspondence to Liqi Han .

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Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhang, L., Han, L. (2014). Complex Systems Modelling for Virtual Agriculture. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_99

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_99

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

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