IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v115y2013icp104-116.html
   My bibliography  Save this article

Bioeconomic model of decision support system for farm management. Part I: Systemic conceptual modeling

Author

Listed:
  • Tanure, Soraya
  • Nabinger, Carlos
  • Becker, João Luiz

Abstract

Information systems used in farming systems are characterized by high complexity. They should be composed of inter-related economic and biological components capable of working in a dynamic and continuous manner, receiving data and producing results within an organized production process. Taking this complexity into account, in this study we propose a novel conceptual macromodel with a system approach of the agricultural and livestock production environment to be adopted as information system in order to support the decision making process. This model is capable of representing the innumerable aspects of a farm production system aiming to help farm producers understand and manage their production system. To better understand the general model and its nuances, several submodels (input models) were built based on adaptation of pre-existing research, among which we mention: meteorological, pasture, animal, crop–livestock integration, crop, soil, pasture-animal, and pasture-soil submodels. The combination of these submodels originates and configures the farm production system structure. Among the main outputs of the proposed model are the economic results, based on agricultural and livestock productivity, the environmental impact assessment, and the analysis of operational risk. A qualitative approach was used with an exploratory descriptive design to carry out this research, based on literature review, interviews, and meetings with experts to refine and validate the proposed model. The refinement of the conceptual model was based on the Delphi method, which allowed the collection of data and peculiarities of the object under study, guided its development to achieve the goals of this research, and allowed the register of several issues for further studies. The validation of the model, also using a qualitative approach, was performed employing conceptual, face, and subsystem validation procedures, also applying the Delphi method. This way, we aimed to identify the weak and strong points of our conceptual model, its main shortcomings and limitations, and the variables that should be optimized, in theoretical and practical perspectives, so that this model can be improved.

Suggested Citation

  • Tanure, Soraya & Nabinger, Carlos & Becker, João Luiz, 2013. "Bioeconomic model of decision support system for farm management. Part I: Systemic conceptual modeling," Agricultural Systems, Elsevier, vol. 115(C), pages 104-116.
    • Handle: RePEc:eee:agisys:v:115:y:2013:i:c:p:104-116
    DOI: 10.1016/j.agsy.2012.08.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X12001448
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2012.08.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michael Boehlje, 1999. "Structural Changes in the Agricultural Industries: How Do We Measure, Analyze and Understand Them?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(5), pages 1028-1041.
    2. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    3. Finger, Robert & Lazzarotto, Patrick & Calanca, Pierluigi, 2010. "Bio-economic assessment of climate change impacts on managed grassland production," Agricultural Systems, Elsevier, vol. 103(9), pages 666-674, November.
    4. Senge, Peter M. & Sterman, John D., 1992. "Systems thinking and organizational learning: Acting locally and thinking globally in the organization of the future," European Journal of Operational Research, Elsevier, vol. 59(1), pages 137-150, May.
    5. Fisher, Donna K. & Norvell, Jonathan & Sonka, Steven T. & Nelson, Mark J., 2000. "Understanding Technology Adoption Through System Dynamics Modeling: Implications For Agribusiness Management," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 3(3), pages 1-16.
    6. Dueri, S. & Calanca, P.L. & Fuhrer, J., 2007. "Climate change affects farm nitrogen loss - A Swiss case study with a dynamic farm model," Agricultural Systems, Elsevier, vol. 93(1-3), pages 191-214, March.
    7. Bryant, Jeremy & Lopez-Villalobos, Nicolas & Holmes, Colin & Pryce, Jennie & Rossi, Jose & Macdonald, Kevin, 2008. "Development and evaluation of a pastoral simulation model that predicts dairy cattle performance based on animal genotype and environmental sensitivity information," Agricultural Systems, Elsevier, vol. 97(1-2), pages 13-25, April.
    8. Moore, A.D. & Robertson, M.J. & Routley, R., 2011. "Evaluation of the water use efficiency of alternative farm practices at a range of spatial and temporal scales: A conceptual framework and a modelling approach," Agricultural Systems, Elsevier, vol. 104(2), pages 162-174, February.
    9. Beauchemin, Karen A. & Henry Janzen, H. & Little, Shannan M. & McAllister, Tim A. & McGinn, Sean M., 2010. "Life cycle assessment of greenhouse gas emissions from beef production in western Canada: A case study," Agricultural Systems, Elsevier, vol. 103(6), pages 371-379, July.
    10. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    11. Robert P. King & Michael Boehlje & Michael L. Cook & Steven T. Sonka, 2010. "Agribusiness Economics and Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 554-570.
    12. Thomson, Euan F. & Bahhady, Faik A., 1995. "A model-farm approach to research on crop-livestock integration -- I. Conceptual framework and methods," Agricultural Systems, Elsevier, vol. 49(1), pages 1-16.
    13. Musshoff, Oliver & Hirschauer, Norbert, 2007. "What benefits are to be derived from improved farm program planning approaches? - The role of time series models and stochastic optimization," Agricultural Systems, Elsevier, vol. 95(1-3), pages 11-27, December.
    14. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    15. Jakku, E. & Thorburn, P.J., 2010. "A conceptual framework for guiding the participatory development of agricultural decision support systems," Agricultural Systems, Elsevier, vol. 103(9), pages 675-682, November.
    16. Douthwaite, Boru & Gummert, Martin, 2010. "Learning selection revisited: How can agricultural researchers make a difference?," Agricultural Systems, Elsevier, vol. 103(5), pages 245-255, June.
    17. Nousiainen, J. & Tuori, M. & Turtola, E. & Huhtanen, P., 2011. "Dairy farm nutrient management model. 1. Model description and validation," Agricultural Systems, Elsevier, vol. 104(5), pages 371-382, June.
    18. Austin, E.J. & Willock, J. & Deary, I.J. & Gibson, G.J. & Dent, J.B. & Edwards-Jones, G. & Morgan, O. & Grieve, R. & Sutherland, A., 1998. "Empirical models of farmer behaviour using psychological, social and economic variables. Part II: nonlinear and expert modelling," Agricultural Systems, Elsevier, vol. 58(2), pages 225-241, October.
    19. Austin, E.J & Willock, J & Deary, I.J & Gibson, G.J & Dent, J.B & Edwards-Jones, G & Morgan, O & Grieve, R & Sutherland, A, 1998. "Empirical models of farmer behaviour using psychological, social and economic variables. Part I: linear modelling," Agricultural Systems, Elsevier, vol. 58(2), pages 203-224, October.
    20. J E Annetts & E Audsley, 2002. "Multiple objective linear programming for environmental farm planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(9), pages 933-943, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dieguez Cameroni, Francisco & Fort, Hugo, 2017. "Towards scientifically based management of extensive livestock farming in terms of ecological predator-prey modeling," Agricultural Systems, Elsevier, vol. 153(C), pages 127-137.
    2. Komarek, Adam M. & Bell, Lindsay W. & Whish, Jeremy P.M. & Robertson, Michael J. & Bellotti, William D., 2015. "Whole-farm economic, risk and resource-use trade-offs associated with integrating forages into crop–livestock systems in western China," Agricultural Systems, Elsevier, vol. 133(C), pages 63-72.
    3. Ge, Houtian & Nolan, James & Gray, Richard & Goetz, Stephan & Han, Yicheol, 2016. "Supply chain complexity and risk mitigation – A hybrid optimization–simulation model," International Journal of Production Economics, Elsevier, vol. 179(C), pages 228-238.
    4. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Ludwig, Lauwers & Sam, Millet & Jef, Van Meensel, 2017. "Simulation Modelling To Provide Insights Into The Optimization Of Delivery Weights Of Finisher Pigs," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261272, European Association of Agricultural Economists.
    5. Ferchiou, Ahmed & Lhermie, Guillaume & Raboisson, Didier, 2021. "New standards in stochastic simulations of dairy cow disease modelling: Bio-economic dynamic optimization for rational health management decision-making," Agricultural Systems, Elsevier, vol. 194(C).
    6. Robert, Marion & Thomas, Alban & Sekhar, Muddu & Badiger, Shrinivas & Ruiz, Laurent & Raynal, Hélène & Bergez, Jacques-Eric, 2017. "Adaptive and dynamic decision-making processes: A conceptual model of production systems on Indian farms," Agricultural Systems, Elsevier, vol. 157(C), pages 279-291.
    7. Dunnett, A. & Shirsath, P.B. & Aggarwal, P.K. & Thornton, P. & Joshi, P.K. & Pal, B.D. & Khatri-Chhetri, A. & Ghosh, J., 2018. "Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions," Ecological Modelling, Elsevier, vol. 381(C), pages 23-35.
    8. Horrillo, A. & Escribano, M. & Mesias, F.J. & Elghannam, A. & Gaspar, P., 2016. "Is there a future for organic production in high ecological value ecosystems?," Agricultural Systems, Elsevier, vol. 143(C), pages 114-125.
    9. Soraya Tanure & Carlos Nabinger & João Luiz Becker, 2015. "Bioeconomic Model of Decision Support System for Farm Management: Proposal of a Mathematical Model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(6), pages 658-671, November.
    10. Kragt, M.E. & Pannell, D.J. & McVittie, A. & Stott, A.W. & Vosough Ahmadi, B. & Wilson, P., 2016. "Improving interdisciplinary collaboration in bio-economic modelling for agricultural systems," Agricultural Systems, Elsevier, vol. 143(C), pages 217-224.
    11. Yang, Gaiqiang & Liu, Lei & Guo, Ping & Li, Mo, 2017. "A flexible decision support system for irrigation scheduling in an irrigation district in China," Agricultural Water Management, Elsevier, vol. 179(C), pages 378-389.
    12. Natalia Bannikova & Andrei Baydakov & Svetlana Vaytsekhovskaya, 2015. "Identification of Strategic Alternatives in Agribusiness," Modern Applied Science, Canadian Center of Science and Education, vol. 9(4), pages 344-344, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Soraya Tanure & Carlos Nabinger & João Luiz Becker, 2015. "Bioeconomic Model of Decision Support System for Farm Management: Proposal of a Mathematical Model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(6), pages 658-671, November.
    2. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    3. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    4. Malawska, Anna & Topping, Christopher John, 2016. "Evaluating the role of behavioral factors and practical constraints in the performance of an agent-based model of farmer decision making," Agricultural Systems, Elsevier, vol. 143(C), pages 136-146.
    5. Simon Briner & Michael Hartmann & Robert Finger & Bernard Lehmann, 2012. "Greenhouse gas mitigation and offset options for suckler cow farms: an economic comparison for the Swiss case," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(4), pages 337-355, April.
    6. Nuthall, Peter L., 1999. "Managerial Ability (The Forgotten Resource) Its Assessment And Modification," 1999 Conference (43th), January 20-22, 1999, Christchurch, New Zealand 124495, Australian Agricultural and Resource Economics Society.
    7. Bobojonov, Ihtiyor & Aw-Hassan, Aden, 2014. "Impacts of climate change on farm income security in Central Asia: An integrated modeling approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 188, pages 245-255.
    8. Le Gal, P.-Y. & Dugué, P. & Faure, G. & Novak, S., 2011. "How does research address the design of innovative agricultural production systems at the farm level? A review," Agricultural Systems, Elsevier, vol. 104(9), pages 714-728.
    9. Chiara Calabrese1 & Stefan Mann1 & Michel Dumondel, 2012. "Patterns of occupational choice in the Swiss alpine labor market," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 5(1), pages 31-54.
    10. Akhmadiyeva, Zarema & Herzfeld, Thomas, 2021. "Understanding the Role of Perceived Land Rights in the Formation of Farmers’ Intentions: Evidence from Central Asia," 2021 Conference, August 17-31, 2021, Virtual 315076, International Association of Agricultural Economists.
    11. Arriaza, M. & Gomez-Limon, J. A., 2003. "Comparative performance of selected mathematical programming models," Agricultural Systems, Elsevier, vol. 77(2), pages 155-171, August.
    12. Luz Maria Castro & Fabian Härtl & Santiago Ochoa & Baltazar Calvas & Leonardo Izquierdo & Thomas Knoke, 2018. "Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations," Journal of Bioeconomics, Springer, vol. 20(2), pages 183-211, July.
    13. Nuthall, P. L., 2001. "Managerial ability -- a review of its basis and potential improvement using psychological concepts," Agricultural Economics, Blackwell, vol. 24(3), pages 247-262, March.
    14. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2010. "An integer programming dynamic farm-household model to evaluate the impact of agricultural policy reforms on farm investment behaviour," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1130-1139, December.
    15. Ira R. Cooke & Elizabeth H. A. Mattison & Eric Audsley & Alison P. Bailey & Robert P. Freckleton & Anil R. Graves & Joe Morris & Simon A. Queenborough & Daniel L. Sandars & Gavin M. Siriwardena & Paul, 2013. "Empirical Test of an Agricultural Landscape Model," SAGE Open, , vol. 3(2), pages 21582440134, April.
    16. Giuseppe Timpanaro & Gaetano Chinnici & Roberta Selvaggi & Giulio Cascone & Vera Teresa Foti & Alessandro Scuderi, 2023. "Farmer?s adoption of agricultural insurance for Mediterranean crops as an innovative behavior," Economia agro-alimentare, FrancoAngeli Editore, vol. 25(2), pages 155-188.
    17. Beer, Lara & Theuvsen, Ludwig, 2020. "Factors influencing German farmer’s decision to grow alley cropping systems as ecological focus areas: a regression analysis," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(4), June.
    18. Krupa, Dorota & Walczak, Damian, 2014. "Investing In The Agribusiness Value Chain And Changes In Gdp," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2014(3).
    19. Nia Kurniawati Hidayat & Astrid Offermans & Pieter Glasbergen, 2018. "Sustainable palm oil as a public responsibility? On the governance capacity of Indonesian Standard for Sustainable Palm Oil (ISPO)," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 35(1), pages 223-242, March.
    20. Duru, M., 2013. "Combining agroecology and management science to design field tools under high agrosystem structural or process uncertainty: Lessons from two case studies of grassland management," Agricultural Systems, Elsevier, vol. 114(C), pages 84-94.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:115:y:2013:i:c:p:104-116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.