Entity

Time filter

Source Type


Zeng L.,Chongqing University | Zhu Q.,Chongqing University | Han Q.,Chongqing University | Qu H.,Chongqing University | Lu Z.,Chongqing Agriculture Science Institute
Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 | Year: 2010

A new algorithm using Functional structural plant models (FSPM) employing feedback control system(FCS)to realize the multiscale change of the physiological parameter for leaf growth is proposed in this paper. Firstly, the plant branching structures are generated by Bidimensional Hierarchical Automata (BHA) while the disturbance function is used to realize the interaction between physiological parameter and botanic growth stimulant. Secondly, the growth stimulant changes the organic details and influences the environment parameters. On the other hand, the change of environment parameters modifies the plant branching structure in return. Thirdly, the varying vein texture is synthesized by reaction-diffusion principle based on the canalization hypothesis. Finally, the three-dimension deformation of a leaf is proposed by the controllability grid bending. Simulation results show that proposed algorithm can effectively simulate the varying process of leaf texture and form by changing physiological parameter. It can well meet the requirement of dynamic displaying plant organ in virtual agricultural laboratory. ©2010 IEEE. Source


Zeng L.,Chongqing University | Han Q.,Chongqing University | Qu H.,Chongqing University | Lu Z.,Chongqing Agriculture Science Institute
Journal of Computational Information Systems | Year: 2010

This paper presents a new scheme using Functional structural plant model (FSPM) employing feedback control system (FCS) to realize the multiscale change of the physiological parameter for leaf growth. Firstly, the plant branching structures are generated by Bidimensional Hierarchical Automata (BHA) while the disturbance function is used to realize the interaction between physiological parameter and botanic growth stimulant. Secondly, the growth stimulant changes the organic details and influences the environment parameters. On the other hand, the change of environment parameters modifies the plant branching structure in return. Thirdly, the varying vein texture is synthesized by reaction-diffusion principle based on the canalization hypothesis. Finally, the three-dimension deformation of a leaf is proposed by the controllability grid bending. Simulation results show that proposed algorithm can effectively simulate the varying process of leaf texture and form by changing physiological parameter. It can well meet the requirement of dynamic displaying plant organ in virtual agricultural laboratory. Copyright © 2010 Binary Information Press May, 2010. Source


Qu H.,Chongqing University of Posts and Telecommunications | Cai L.,Chongqing University of Posts and Telecommunications | Lu Z.,Chongqing Agriculture Science Institute | Wang Y.,Chongqing Electric Power College
Scientific Research and Essays | Year: 2010

This paper reviews detailed methods and approaches in relation to the complex machine learning system of automatic ramification (branching) pattern extraction. First, we will introduce plant topological and geometrical description, encode database or structure used for storage of measured plant structure. And then, the most important part of this paper, we will discuss recent methods and theories used for plant topology and geometry acquisition, statistical and structural analysis as well as branching rule extraction for any species of plant. Finally, some unsolved problems and challenges need to be addressed in future research are outlined. ©2010 Academic Journals. Source


Qu H.,Chongqing University | Qu H.,Iowa State University | Zhu Q.,Chongqing University | Fu H.,Chongqing University | Lu Z.,Chongqing Agriculture Science Institute
Journal of Simulation | Year: 2010

This paper presents VirtualEP, a novel simulator for eggplant growth, integrating Agent-Based Modelling technology and existing knowledge of plant physiology. VirtualEP simulates the growth and development of eggplant as an evolution of a dynamic branching network whose nodes are represented by Autonomous Virtual Organs (AVOs). The AVO possesses inbuilt data structure, states and functional rules so that it can autonomously perform physiological procedures (eg photosynthesis, nutrient uptake, storage, mobilization and respiration, etc) to respond to environmental heterogeneity. A discrete implementation of pressure-flow paradigm is incorporated to simulate carbon, water and nitrogen transport and allocation among AVOs. Simulation results demonstrate that VirtualEP can effectively deal with global nutrients allocation, growth in response to variation of air temperature, solar radiation as well as water and nitrogen stress. Moreover, VirtualEP can also provide vivid 3D visualization of these features. © 2010 Operational Research Society Ltd. All rights reserved. Source


Qu H.,A+ Network | Qu H.,University of Tubingen | Wang Y.,Chongqing Electric Power College | Cai L.,A+ Network | And 2 more authors.
Simulation Modelling Practice and Theory | Year: 2012

This paper presented an agent-based functional-structural model ORASIM for orange tree growth simulation. In ORASIM, detailed geometry, carbon/water acquisitions and expenses, as well as their dynamics are integrated into individual metamer/root agents. The nested-list of metamer/root agents forms a growing, three-dimensional orange tree structure. After model parameterization and validation using field data of orange tree growth, main features of tree functioning, i.e., morphological and physiological responses to environmental heterogeneity on different time scales have been investigated. It demonstrated that, using ORASIM, the phenotypic plasticity can be fully resulted from interactions between agents. Meanwhile, the output of ORASIM shows a good agreement for the characters of shape, branch pattern and other physiological features between the simulation and the real growth orange trees. © 2012 Elsevier B.V. All rights reserved. Source

Discover hidden collaborations