An optimal control methodology for plant growth-Case study of a water supply problem of sunflower

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	An optimal control methodology for plant growth-Case study of a water supply problem of sunflower
	Wu, Lin 1,2; Le Dimet, Francois-Xavier 3,4; de Reffye, Philippe 5,6; Hug, Bao-Gang7 ; Cournede, Paul-Henry 5,8; Kang, Meng-Zhen7
发表期刊	MATHEMATICS AND COMPUTERS IN SIMULATION
	2012
卷号	82 期号:5 页码:909-923
文章类型	Article
摘要	An optimal control methodology is proposed for plant growth. This methodology is demonstrated by solving a water supply problem for optimal sunflower fruit filling. The functional-structural sunflower growth is described by a dynamical system given soil water conditions. Numerical solutions are obtained through an iterative optimization procedure, in which the gradients of the objective function, i.e. the sunflower fruit weight, are calculated efficiently either with adjoint modeling or by differentiation algorithms. Further improvements in sunflower yield have been found compared to those obtained using genetic algorithms in our previous studies. The optimal water supplies adapt to the fruit filling. For instance, during the mid-season growth, the supply frequency condenses and the supply amplitude peaks. By contrast, much less supplies are needed during the early and ending growth stages. The supply frequency is a determining factor, whereas the sunflower growth is less sensitive to the time and amount of one specific irrigation. These optimization results agree with common qualitative agronomic practices. Moreover they provide more precise quantitative control for sunflower growth. (C) 2012 IMACS. Published by Elsevier B.V. All rights reserved.
关键词	Functional-structural Plant Model Dynamical System Optimal Control Adjoint Model
WOS标题词	Science & Technology ; Technology ; Physical Sciences
关键词[WOS]	GREENLAB MODEL ; ASSIMILATION ; OPTIMIZATION ; STABILITY ; YIELD
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Mathematics
WOS类目	Computer Science, Interdisciplinary Applications ; Computer Science, Software Engineering ; Mathematics, Applied
WOS记录号	WOS:000301270300011
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3671
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队离退休人员
作者单位	1.Univ Paris Est, CEREA, Joint Lab Ecole Ponts ParisTech EDF R&D, F-77455 Marne La Vallee, France 2.INRIA, F-78153 Clime, Rocquencourt, France 3.Univ Grenoble 1, LJK, F-38041 Grenoble, France 4.INRIA, MOISE, F-38041 Grenoble, France 5.INRIA, F-91893 Orsay, France 6.CIRAD, UMR AMAP, F-34000 Montpellier, France 7.Chinese Acad Sci, Inst Automat, LIAMA, Beijing 100080, Peoples R China 8.Ecole Cent Paris, Lab Appl Math, F-92295 Chatenay Malabry, France
推荐引用方式 GB/T 7714	Wu, Lin,Le Dimet, Francois-Xavier,de Reffye, Philippe,et al. An optimal control methodology for plant growth-Case study of a water supply problem of sunflower[J]. MATHEMATICS AND COMPUTERS IN SIMULATION,2012,82(5):909-923.
APA	Wu, Lin,Le Dimet, Francois-Xavier,de Reffye, Philippe,Hug, Bao-Gang,Cournede, Paul-Henry,&Kang, Meng-Zhen.(2012).An optimal control methodology for plant growth-Case study of a water supply problem of sunflower.MATHEMATICS AND COMPUTERS IN SIMULATION,82(5),909-923.
MLA	Wu, Lin,et al."An optimal control methodology for plant growth-Case study of a water supply problem of sunflower".MATHEMATICS AND COMPUTERS IN SIMULATION 82.5(2012):909-923.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
2012_wu12water.pdf（757KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载