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Towards a control model for the highly cybernetic farming ecosystems
1Department of Agricultural Engineering, National Taiwan University Taipei, Republic of China. cmliao@ccms.ntu.edu.tw
Summary
This study introduces a cybernetic farming model to manage farm residuals. It shows that residuals, like phosphorus, are key control variables influencing farming system dynamics.
Area of Science:
- Agricultural Science
- Systems Engineering
- Environmental Management
Background:
- Farm ecosystems generate residuals that impact resource flow and environmental quality.
- Efficient management of these residuals is crucial for sustainable agriculture.
- Cybernetic principles offer a framework for dynamic system control in agriculture.
Purpose of the Study:
- To develop a dynamic, linear cybernetic model for managing farm residuals.
- To analyze the influence of residuals as control variables in farming systems.
- To simulate residual phosphorus dynamics in an integrated pig/corn farming system.
Main Methods:
- Application of linear systems theory to model farm ecosystem dynamics.
- Identification of state variables (resource quantities) and control variables (residual quantities).
- Simulation of residual phosphorus concentration using input-output analysis in a South Taiwan pig/corn farm.
Main Results:
- Residual phosphorus concentration is significantly influenced by farming activities.
- Farming activities are controlled by gross input and net output parameters.
- The study confirms residuals as the most critical cybernetic variable in farming systems.
Conclusions:
- The developed cybernetic model effectively simulates residual dynamics in farm ecosystems.
- Residual management is a key factor in optimizing agricultural system performance.
- This approach provides a foundation for designing more sustainable and cybernetic farming strategies.