Parameter identification of plant growth models with stochastic development
Kang, Mengzhen; Hua, Jing; de Reffye, Philippe; Jaeger, Marc
2017-01
会议名称International Conference on Functional-structural Plant Growth Modeling
会议日期2016-11
会议地点Qingdao, China
摘要
Abstract—Plant architectures generally display structural variations among individuals. Stochastic FSPMs have been developed to capture such feature, but calibrating such models is a challenging issue. For GreenLab model, parameter identification has
been achieved on several crops and trees, but the estimation of functional parameters is mostly limited to plants with deterministic development.
In this work, we propose a methodological framework allowing the efficient FSPM parameter estimation for stochastic ramified plants. We focus on the randomness in three kinds of meristem activities in plant development: growth, death and branching.
Concepts of organic series and potential structure are introduced to build the fitting target as well as corresponding model output. We show that, with a limited set of sampled plants (here from simulation), using a few organic series, the inverse method retrieves
well the parameter values (the original parameter set being known here).
Requiring the concept of physiological age and the assumption of common biomass pool, the proposed approach provides a solution of solving source-sink functions of complex plant architectures, with a novel simplified way of plant sampling. The proposed parameter estimation frame is promising, since this in silico process mimics the
procedure of calibrating model for real plants in a stand. Estimating parameters on stochastic plant architectures opens a new range of coming applications. 
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/22115
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
作者单位Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Kang, Mengzhen,Hua, Jing,de Reffye, Philippe,et al. Parameter identification of plant growth models with stochastic development[C],2017.
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