Optimizing simulation models of agricultural systems

被引:9
作者
Mayer, DG
Belward, JA
Burrage, K
机构
[1] Queensland Dept Primary Ind, Anim Res Inst, Moorooka, Qld 4105, Australia
[2] Univ Queensland, Ctr Ind & Appl Math & Parallel Comp, Brisbane, Qld 4072, Australia
关键词
simulation; agricultural systems; models; optimization;
D O I
10.1023/A:1018958602679
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Agricultural systems vary widely in terms of scale,;scope and purpose. Managers of these real-world systems are typically faced with a multitude of alternative management options and strategies, and are turning more towards simulation models in an attempt to evaluate these and identify the optimal combination. From a modelling perspective, agricultural systems present a range of problems which need to be addressed, and these are outlined with examples. General conclusions are drawn on which of the available methodologies are most likely to be successful for users.
引用
收藏
页码:219 / 231
页数:13
相关论文
共 50 条
[41]   A Framework for Optimizing the Use of Systems Engineering on Proposals [J].
Smartt, Clement ;
Ferreira, Susan ;
Rosenberger, Jay ;
Corley, H. W. .
2014 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH, 2014, 28 :120-129
[42]   Metaheuristic Approaches for Optimizing Agricultural Land Areas [J].
Badarudin, Ismadi ;
Sultan, Abu Bakar Md ;
Sulaiman, Md Nasir ;
Mamat, Ali ;
Mohamed, Mahmud Tengku Muda .
2009 2ND CONFERENCE ON DATA MINING AND OPTIMIZATION, 2009, :28-+
[43]   Double stimulation for collaborative transformation of agricultural systems: The role of models for building agency [J].
Vanninen, Irene ;
Querol, Marco Pereira ;
Engestrom, Yrjo .
LEARNING CULTURE AND SOCIAL INTERACTION, 2021, 30
[44]   Quantifying greenhouse gas emissions in agricultural systems: a comparative analysis of process models [J].
Tang, Yujie ;
Qiao, Yunfa ;
Ma, Yinzheng ;
Huang, Weiliang ;
Komal, Khan ;
Miao, Shujie .
ECOLOGICAL MODELLING, 2024, 490
[45]   Optimizing stochastic production-inventory systems: A heuristic based on simulation and regression analysis [J].
Arreola-Risa, Antonio ;
Gimenez-Garcia, Victor M. ;
Luis Martinez-Parra, Jose .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 213 (01) :107-118
[46]   OPTIMIZED ARCHITECTURE MANUFACTURING SYSTEMS USING WITNESS MODELS AND SIMULATION [J].
Minciu, Constantin ;
Gandila, Sanda ;
Anghel, Florina .
ANNALS OF DAAAM FOR 2008 & PROCEEDINGS OF THE 19TH INTERNATIONAL DAAAM SYMPOSIUM: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON NEXT GENERATION OF INTELLIGENT SYSTEMS AND SOLUTIONS, 2008, :875-876
[47]   FAST TRANSIENT SIMULATION OF MARKOVIAN MODELS OF HIGHLY DEPENDABLE SYSTEMS [J].
SHAHABUDDIN, P .
PERFORMANCE EVALUATION, 1994, 20 (1-3) :267-286
[48]   Determining the Validity of Simulation Models for the Verification of Automated Driving Systems [J].
Neurohr, Birte ;
Koopmann, Tjark ;
Moehlmann, Eike ;
Fraenzle, Martin .
IEEE ACCESS, 2023, 11 :102949-102960
[49]   Mathematical models for ship path prediction in manoeuvring simulation systems [J].
Sutulo, S ;
Moreira, L ;
Soares, CG .
OCEAN ENGINEERING, 2002, 29 (01) :1-19
[50]   VALIDATION PRINCIPLES OF AGRICULTURAL MACHINE MULTIBODY DYNAMICS MODELS [J].
Adams, Bailey ;
Darr, Matthew .
JOURNAL OF THE ASABE, 2022, 65 (04) :801-814