中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analytical study of a stochastic plant growth model: Application to the GreenLab model

文献类型:期刊论文

作者Kang, M. Z.1,3; Cournede, P. H.2; de Reffye, P.3,4,5; Auclair, D.6; Hu, B. G.3
刊名MATHEMATICS AND COMPUTERS IN SIMULATION
出版日期2008-06-01
卷号78期号:1页码:57-75
关键词GreenLab analytical moments recurrent computation bud probability stochastic functional-structural plant model
英文摘要A stochastic functional-structural model simulating plant development and growth is presented. The number of organs (internodes, leaves and fruits) produced by the model is not only a key intermediate variable for biomass production computation, but also an indicator of model complexity. To obtain their mean and variance through simulation is time-consuming and the results are approximate. In this paper, based on the idea of substructure decomposition, the theoretical mean and variance of the number of organs in a plant structure from the model are computed recurrently by applying a compound law of generating functions. This analytical method provides fast and precise results, which facilitates model analysis as well as model calibration and validation with real plants. Furthermore, the mean and variance of the biomass production from the stochastic plant model are of special interest linked to the prediction of yield. In this paper, through differential statistics, their approximate results are computed in an analytical way for any plant age. A case study on sample trees from this functional-structural model shows the theoretical moments of the number of organs and the biomass production, as well as the computation efficiency of the analytical method compared to a Monte-Carlo simulation method. The advantages and the drawbacks of this stochastic model for agricultural applications are discussed. (C) 2007 IMACS. Published by Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology ; Physical Sciences
类目[WOS]Computer Science, Interdisciplinary Applications ; Computer Science, Software Engineering ; Mathematics, Applied
研究领域[WOS]Computer Science ; Mathematics
关键词[WOS]CELLULAR INTERACTIONS ; MATHEMATICAL MODELS ; PATTERN ; SIMULATION ; FILAMENTS ; INPUTS ; TREES ; ANGLE
收录类别SCI
语种英语
WOS记录号WOS:000255997600005
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9615]  
专题自动化研究所_09年以前成果
作者单位1.Capital Normal Univ, Beijing 100037, Peoples R China
2.Ecole Cent Paris, Lab Appl Math, F-92295 Chatenay Malabry, France
3.Chinese Acad Sci, Inst Automat, LIAMA, Beijing 100080, Peoples R China
4.INRIA, F-78150 Digiplante, Rocquencourt, France
5.AMAP, UMR, CIRAD, F-34000 Montpellier, France
6.AMAP, UMR, INRA, F-34000 Montpellier, France
推荐引用方式
GB/T 7714
Kang, M. Z.,Cournede, P. H.,de Reffye, P.,et al. Analytical study of a stochastic plant growth model: Application to the GreenLab model[J]. MATHEMATICS AND COMPUTERS IN SIMULATION,2008,78(1):57-75.
APA Kang, M. Z.,Cournede, P. H.,de Reffye, P.,Auclair, D.,&Hu, B. G..(2008).Analytical study of a stochastic plant growth model: Application to the GreenLab model.MATHEMATICS AND COMPUTERS IN SIMULATION,78(1),57-75.
MLA Kang, M. Z.,et al."Analytical study of a stochastic plant growth model: Application to the GreenLab model".MATHEMATICS AND COMPUTERS IN SIMULATION 78.1(2008):57-75.

入库方式: OAI收割

来源:自动化研究所

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