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[And74]

Jock R Anderson. Simulation: methodology and application in agricultural economics. Review of Marketing Agricultural Economics, 42(430-2016-31038):3, 1974.

[AA02]

J E Annetts and E Audsley. Multiple objective linear programming for environmental farm planning. Journal of the Operational Research Society, 53(9):933–943, 2002. URL: https://doi.org/10.1057/palgrave.jors.2601404, arXiv:https://doi.org/10.1057/palgrave.jors.2601404, doi:10.1057/palgrave.jors.2601404.

[DP08]

Graeme J Doole and David J Pannell. Optimisation of a large, constrained simulation model using compressed annealing. Journal of Agricultural Economics, 59(1):188–206, 2008.

[EFK04]

Michael A Ewing, Felicity Flugge, and RS Kingwell. The benefits and challenges of crop-livestock integration in australian agriculture. In Proceedings of the 4th international crop science congress’.(CD-ROM). 2004.

[FS03]

Felicity Flugge and Steven Schilizzi. Greenhouse gas abatement policies and the value of carbon sinks: do grazing and cropping systems have different destinies? Ecological Economics, 55:584–598, 2003. URL: http://ageconsearch.umn.edu/record/57865/files/2003_flugge.pdf.

[FDN07]

Mike Freer, Hugh Dove, and JV Nolan. Nutrient requirements of domesticated ruminants. CSIRO publishing, 2007. ISBN 0643092625.

[GKD08]

Lauren Gibson, Ross Kingwell, and Graeme Doole. The role and value of eastern star clover in managing herbicide-resistant crop weeds: a whole-farm analysis. Agricultural Systems, 98:199–207, 2008. URL: http://www.sciencedirect.com/science/article/pii/S0308521X08000772.

[HLW+17]

William E Hart, Carl D Laird, Jean-Paul Watson, David L Woodruff, Gabriel A Hackebeil, Bethany L Nicholson, and John D Siirola. Pyomo-optimization modeling in python. Volume 67. Springer, 2017. ISBN 3319588214.

[HWWoodruff11]

William E. Hart, Jean-Paul Watson, and David L. Woodruff. Pyomo: modeling and solving mathematical programs in python. Mathematical Programming Computation 3, 3:219–260, 2011.

[HHF+18]

Dean Holzworth, Neil I Huth, Justin Fainges, H Brown, E Zurcher, Rogerio Cichota, Shaun Verrall, Neville I Herrmann, Bangyou Zheng, and V Snow. Apsim next generation: overcoming challenges in modernising a farming systems model. Environmental Modelling & Software, 103:43–51, 2018.

[HLT+19]

James R Hunt, Julianne M Lilley, Ben Trevaskis, Bonnie M Flohr, Allan Peake, Andrew Fletcher, Alexander B Zwart, David Gobbett, and John A Kirkegaard. Early sowing systems can boost australian wheat yields despite recent climate change. Nature Climate Change, 9(3):244–247, 2019.

[KCH+03]

BA Keating, PS Carberry, GL Hammer, ME Probert, MJ Robertson, D Holzworth, NI Huth, JNG Hargreaves, H Meinke, Z Hochman, and others. The agricultural production systems simulator (apsim): its history and current capability. European Journal of Agronomy, 18:267–288, 2003.

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R.S. Kingwell. Risk attitude and dryland farm management. Agricultural Systems, 45(2):191–202, 1994. URL: https://www.sciencedirect.com/science/article/pii/0308521X9490178I, doi:https://doi.org/10.1016/0308-521X(94)90178-I.

[Kin11]

Ross Kingwell. Managing complexity in modern farming. Australian Journal of Agricultural and Resource Economics, 55:12–34, 2011. URL: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8489.2010.00528.x.

[KMB91]

Ross Kingwell, David A Morrison, and Andrew Bathgate. MUDAS: Model of an uncertain dryland agricultural system: a description. Western Australian Department of Agriculture, South Perth, 1991.

[KP87]

Ross Kingwell and David Pannell. MIDAS, a Bioeconomic Model of a Dryland Farming System. PUDOC, Wageningen, the Netherlands, 1987.

[Kin96]

Ross Stephen Kingwell. Using Mathematical Programming to Model Farm Management Under Price and Seasonal Uncertainty: An Analysis of Stabilization Policies for Wheat and Wool. PhD thesis, University of Western Australia, 1996.

[KYK08]

Emma Kopke, John Young, and Ross Kingwell. The relative profitability and environmental impacts of different sheep systems in a mediterranean environment. Agricultural Systems, 96:85–94, 2008. URL: http://www.sciencedirect.com/science/article/pii/S0308521X07000807.

[KLM01]

Sheng-Feng Kuo, Chen-Wuing Liu, and Gary P. Merkley. Sw—soil and water: application of the simulated annealing method to agricultural water resource management. Journal of Agricultural Engineering Research, 80(1):109–124, 2001. URL: http://www.sciencedirect.com/science/article/pii/S0021863401907231, doi:https://doi.org/10.1006/jaer.2001.0723.

[LP19]

George Lindfield and John Penny. Chapter 9 - Optimization Methods, pages 433–483. Academic Press, 2019. URL: http://www.sciencedirect.com/science/article/pii/B978012812256300018X, doi:https://doi.org/10.1016/B978-0-12-812256-3.00018-X.

[Mak14]

Andrew Makhorin. Glpk (gnu linear programming kit). 2014. URL: https://www.gnu.org/software/glpk/.

[McK12]

Wes McKinney. Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.", 2012. ISBN 1449323618.

[MFMC]

missing year in RN119

[MHH+07]

AD Moore, DP Holzworth, NI Herrmann, NI Huth, and MJ Robertson. The common modelling protocol: a hierarchical framework for simulation of agricultural and environmental systems. Agricultural Systems, 95(1-3):37–48, 2007.

[NER80]

George W Norton, K William Easter, and Terry L Roe. American indian farm planning: an analytical approach to tribal decision making. American Journal of Agricultural Economics, 62(4):689–699, 1980.

[Pan96]

David J. Pannell. Lessons from a decade of whole-farm modeling in western australia. Applied Economic Perspectives and Policy, 18:373–383, 1996. URL: https://doi.org/10.2307/1349622.

[Pan97]

David J. Pannell. Introduction to practical linear programming. Wiley, New York, 1997. ISBN 0471517895.

[PG09]

Richard Price and Daniel Goode. Adaptive Agriculture: A Stocktake of Land & Water Australia's Investments. Land & Water Australia, Canberra, A.C.T, 2009. URL: https://www.researchgate.net/publication/270573271_Adaptive_Agriculture_A_Stocktake_of_Land_Water_Australia's_Investments, doi:10.13140/2.1.1144.6083.

[RK04]

K Srinivasa Raju and D Nagesh Kumar. Irrigation planning using genetic algorithms. Water Resources Management, 18(2):163–176, 2004.

[RCH+02]

M. J. Robertson, P. S. Carberry, N. I. Huth, J. E. Turpin, M. E. Probert, P. L. Poulton, M. Bell, G. C. Wright, S. J. Yeates, and R. B. Brinsmead. Simulation of growth and development of diverse legume species in apsim. Australian Journal of Agricultural Research, 53:429–446, 2002. URL: https://doi.org/10.1071/AR01106.

[Ros11]

missing school in RN89

[SBK17]

David Schäfer, Wolfgang Britz, and Till Kuhn. Flexible load of existing biogas plants: a viable option to reduce environmental externalities and to provide demand driven electricity? German Journal of Agricultural Economics, 66(670-2020-979):109–123, 2017.

[SBB13]

Navtej Singh, Lisa-Marie Browne, and Ray Butler. Parallel astronomical data processing with python: recipes for multicore machines. Astronomy and Computing, 2:1–10, 2013.

[TS92]

AJ Taylor and CJ Smith. Effect of sowing date and seeding rate on yield and yield components of irrigated canola (brassica napus l.) grown on a red-brown earth in south-eastern australia. Australian Journal of Agricultural Research, 43(7):1629–1641, 1992.

[TKP13]

Tas Thamo, Ross S Kingwell, and David J Pannell. Measurement of greenhouse gas emissions from agriculture: economic implications for policy and agricultural producers. Australian Journal of Agricultural and Resource Economics, 57:234–252, 2013.

[TMBW18]

Dean T. Thomas, Andrew D. Moore, Lindsay W. Bell, and Nicholas P. Webb. Ground cover, erosion risk and production implications of targeted management practices in australian mixed farming systems: lessons from the grain and graze program. Agricultural Systems, 162:123–135, 2018. URL: http://www.sciencedirect.com/science/article/pii/S0308521X17306042, doi:https://doi.org/10.1016/j.agsy.2018.02.001.

[VR07]

Guido Van Rossum. Python programming language. In USENIX annual technical conference, volume 41, 36. 2007.

[WE00]

Rukman Wimalasuriya and Mark Eigenraam. Transferring paddock histories to optimise crop rotations using lp: a new, unrestricted approach. Report, Australian Agricultural and Resource Economics Society, 2000.

[YTCO11]

JM Young, AN Thompson, M Curnow, and CM Oldham. Whole-farm profit and the optimum maternal liveweight profile of merino ewe flocks lambing in winter and spring are influenced by the effects of ewe nutrition on the progeny’s survival and lifetime wool production. Animal Production Science, 51(9):821–833, 2011.

[YTK10]

JM Young, AN Thompson, and AJ Kennedy. Bioeconomic modelling to identify the relative importance of a range of critical control points for prime lamb production systems in south-west victoria. Animal Production Science, 50(8):748–756, 2010.

[YTT14]

JM Young, J Trompf, and AN Thompson. The critical control points for increasing reproductive performance can be used to inform research priorities. Animal Production Science, 54(6):645–655, 2014.

[YKYV20]

Michael Young, Ross Kingwell, John Young, and Phil Vercoe. An economic analysis of sheep flock structures for mixed enterprise australian farm businesses. Australian Journal of Agricultural and Resource Economics, 2020.

[ZCC+15]

Bangyou Zheng, Scott C Chapman, Jack T Christopher, Troy M Frederiks, and Karine Chenu. Frost trends and their estimated impact on yield in the australian wheatbelt. Journal of Experimental Botany, 66(12):3611–3623, 2015.