An engineering approach to modelling, decision support and control for sustainable systems
Identifieur interne : 000A72 ( Main/Exploration ); précédent : 000A71; suivant : 000A73An engineering approach to modelling, decision support and control for sustainable systems
Auteurs : W. Day ; E. Audsley ; A. R FrostSource :
- Philosophical Transactions of the Royal Society B: Biological Sciences [ 0962-8436 ] ; 2007.
Abstract
Engineering research and development contributes to the advance of sustainable agriculture both through innovative methods to manage and control processes, and through quantitative understanding of the operation of practical agricultural systems using decision models. This paper describes how an engineering approach, drawing on mathematical models of systems and processes, contributes new methods that support decision making at all levels from strategy and planning to tactics and real-time control. The ability to describe the system or process by a simple and robust mathematical model is critical, and the outputs range from guidance to policy makers on strategic decisions relating to land use, through intelligent decision support to farmers and on to real-time engineering control of specific processes. Precision in decision making leads to decreased use of inputs, less environmental emissions and enhanced profitability—all essential to sustainable systems.
Url:
DOI: 10.1098/rstb.2007.2168
PubMed: 17656345
PubMed Central: 2610168
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>Engineering research and development contributes to the advance of sustainable agriculture both through innovative methods to manage and control processes, and through quantitative understanding of the operation of practical agricultural systems using decision models. This paper describes how an engineering approach, drawing on mathematical models of systems and processes, contributes new methods that support decision making at all levels from strategy and planning to tactics and real-time control. The ability to describe the system or process by a simple and robust mathematical model is critical, and the outputs range from guidance to policy makers on strategic decisions relating to land use, through intelligent decision support to farmers and on to real-time engineering control of specific processes. Precision in decision making leads to decreased use of inputs, less environmental emissions and enhanced profitability—all essential to sustainable systems.</p>
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