Chongqing Agriculture Science Institute

Chongqing, China

Chongqing Agriculture Science Institute

Chongqing, China
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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.


Qu H.,University of Tübingen | Wang Y.,Chongqing Electric Power College | Lu Z.,Chongqing Agriculture Science Institute
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.


Qu H.,Chongqing University | Qu H.,Iowa State University | Zhu Q.,Chongqing University | Fu H.,Chongqing University | And 3 more authors.
Journal of Computational and Theoretical Nanoscience | Year: 2010

Over the last decades, L-System has been widely used as a powerful tool in virtual plants modeling, particularly, in plant branch constructing. However, it is really difficult to manually develop a L-System for a given plant species only depending on imagination or experience. In this research, a novel approach of automatic L-System discovery by means of branching pattern analysis of unfoliaged trees is presented to address this issue. In this proposed approach, three steps are involved for L-System extraction. Firstly, image processing as well as pattern recognition methods are employed to recover topological and geometrical information for growth units and metamers from multiple images of unfoliaged trees. Secondly, Markovian methods are used to further analyze data which have been extracted in the first step for capturing the internal relationship among plant elements (on both scale of growth unit and metamer). Thirdly, the L-System has been generated throuth the running of a Bidimensional Hierarchical Automaton (BHA), which is constructed from the analysis result of the second step for describing plant branching structure. Experimental results show that our approach can discover L-System for unfoliaged trees effectively. Copyright © 2010 American Scientific Publishers. All rights reserved.


Qu H.,Chongqing University | Qu H.,Iowa State University | Zhu Q.,Chongqing University | Guo M.,Chongqing University | Lu Z.,Chongqing Agriculture Science Institute
Simulation Modelling Practice and Theory | Year: 2010

This research presented a teleonomic-based simulation approach to virtual plants integrating the technology of intelligent agent as well as the knowledge of plant physiology and morphology. Plant is represented as the individual metamers and root agents with both functional and geometrical structure. The development of plant is achieved by the flush growth of metamer and root agents controlled by their internal physiological status and external environment. The eggplant based simulation results show that simple rules and actions (internal carbon allocation among organs, dynamic carbon reserve/mobilization, carbon transport in parallel using a discrete pressure-flow paradigm and child agent position choosing for maximum light interception, etc.) executed by agents can cause the complex adaptive behaviors on the whole plant level: carbon partitioning among metamers and roots, carbon reserve dynamics, architecture and biomass adaptation to environmental heterogeneity and the phototropism, etc. This phenomenon manifest that the virtual plant simulated in presented approach can be viewed as a complex adaptive system. © 2010 Elsevier B.V. All rights reserved.


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.


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.


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.

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