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Published on: November 24, 2021
An engineering approach to modelling, decision support and control for sustainable systems
1Silsoe Research Institute, Wrest Park, Silsoe, Bedford MK45 4HS, UK. bill.day@silsoeresearch.org.uk
Summary
Engineering research enhances sustainable agriculture by providing quantitative models for decision-making. This approach optimizes resource use, reduces environmental impact, and boosts farm profitability for a more sustainable future.
Area of Science:
- Agricultural Engineering
- Systems Engineering
- Sustainable Agriculture
Background:
- Sustainable agriculture requires innovative methods for process management and quantitative understanding of agricultural systems.
- Decision models are crucial for optimizing agricultural operations and resource allocation.
Purpose of the Study:
- To describe how an engineering approach, utilizing mathematical models, can support decision-making in agriculture at various levels.
- To highlight the role of engineering in advancing sustainable agricultural practices through quantitative methods.
Main Methods:
- Application of mathematical models to describe and analyze agricultural systems and processes.
- Development of decision support tools for strategic planning, tactical management, and real-time control.
Main Results:
- Engineering approaches provide robust mathematical models for agricultural systems.
- Outputs range from policy guidance on land use to real-time process control for farmers.
- Precision in decision-making leads to reduced input use and environmental emissions.
Conclusions:
- An engineering approach, grounded in mathematical modeling, is vital for achieving sustainable agriculture.
- Quantitative understanding and decision support systems enhance efficiency and profitability in farming.
- This methodology is essential for strategic, tactical, and operational levels of agricultural management.
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