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Bond graph models for plant biosystems

Computer Programs in Biomedicine

|September 1, 1978

Summary

This summary is machine-generated.

This study introduces computable dynamic models for plant biosystems, enabling analysis of environmental impacts on plant growth. Bond graphs facilitate the development of comprehensive models for plant simulations.

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Area of Science:

Plant physiology
Systems biology
Computational modeling

Background:

Understanding plant responses to environmental variables is crucial for predicting growth and productivity.
Dynamic models offer a framework for simulating complex biological processes.

Purpose of the Study:

To develop computable dynamic models for plant biosystems using bond graphs.
To simulate the effects of environmental variables on plant growth and productivity.

Main Methods:

Utilized bond graphs to construct a phenomenological model of a plant biosystem.
Incorporated elements such as gas diffusion, intracellular chemistry, and phloem translocation into the model.
Employed computer simulations for model analysis.

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Main Results:

Demonstrated that bond graphs provide a conceptual foundation for building biological subsystem and system models.
Developed computable representations of plant biosystems for simulation.

Conclusions:

Computable dynamic models are effective tools for studying plant biosystems.
Bond graph methodology enables the creation of detailed and computable plant models for research and simulation.