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Adaptive and dynamic decision-making processes: A conceptual model of production systems on Indian farms

Author

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  • Robert, Marion
  • Thomas, Alban
  • Sekhar, Muddu
  • Badiger, Shrinivas
  • Ruiz, Laurent
  • Raynal, Hélène
  • Bergez, Jacques-Eric

Abstract

Farming systems are complex structures with several dimensions interacting in a dynamic and continuous manner around farmers' management strategies. This complexity peaks in semi-arid regions of India, where small farms encounter a highly competitive environment for markets and resources, especially unreliable access to water from rainfall and irrigation. To represent such strategies, we propose the conceptual model NAMASTE, which was conceived and based on data collected in the Berambadi watershed in southern India. The most relevant and novel aspects of NAMASTE are i) the system-based representation of farm production systems, ii) the description of dynamic processes through management flexibility and adaptation, and iii) the representation of steps in farmers' decision-making processes at various temporal and spatial scales. Since NAMASTE was designed in an extreme case of highly vulnerable agriculture, its generic framework and formalisms can be used to conceptually represent many other farm production systems.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agisys:v:157:y:2017:i:c:p:279-291
    DOI: 10.1016/j.agsy.2016.08.001
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    1. Ika Darnhofer, 2014. "Resilience and why it matters for farm management," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(3), pages 461-484.
    2. Barbier, B. & Bergeron, G., 1999. "Impact of policy interventions on land management in Honduras: results of a bioeconomic model," Agricultural Systems, Elsevier, vol. 60(1), pages 1-16, May.
    3. James Risbey & Milind Kandlikar & Hadi Dowlatabadi & Dean Graetz, 1999. "Scale, context, and decision making in agricultural adaptation to climate variability and change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 4(2), pages 137-165, June.
    4. Domptail, Stéphanie & Nuppenau, Ernst-August, 2010. "The role of uncertainty and expectations in modeling (range)land use strategies: An application of dynamic optimization modeling with recursion," Ecological Economics, Elsevier, vol. 69(12), pages 2475-2485, October.
    5. Merot, A. & Bergez, J.-E. & Capillon, A. & Wery, J., 2008. "Analysing farming practices to develop a numerical, operational model of farmers' decision-making processes: An irrigated hay cropping system in France," Agricultural Systems, Elsevier, vol. 98(2), pages 108-118, September.
    6. David B. Trebeck & J. Brian Hardaker, 1972. "The Integrated Use Of Simulation And Stochastic Programming For Whole Farm Planning Under Risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 16(2), pages 115-126, August.
    7. Michael T. Wallace & Joan E. Moss, 2002. "Farmer Decision‐Making with Conflicting Goals: A Recursive Strategic Programming Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(1), pages 82-100, March.
    8. Guillaume Martin & Roger Martin-Clouaire & Jean-Pierre Rellier & Michel Duru, 2011. "A Conceptual Model of Grassland-Based Beef Systems," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 2(1), pages 20-39, January.
    9. Papy, Francois & Attonaty, Jean-Marie & Laporte, Clotilde & Soler, Louis-Georges, 1988. "Work organization simulation as a basis for farm management advice (equipment and manpower, levels against climatic variability)," Agricultural Systems, Elsevier, vol. 27(4), pages 295-314.
    10. Aubry, C. & Papy, F. & Capillon, A., 1998. "Modelling decision-making processes for annual crop management," Agricultural Systems, Elsevier, vol. 56(1), pages 45-65, January.
    11. Richard Bellman, 1954. "Some Applications of the Theory of Dynamic Programming---A Review," Operations Research, INFORMS, vol. 2(3), pages 275-288, August.
    12. Theodor Heidhues, 1966. "A Recursive Programming Model of Farm Growth in Northern Germany," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 48(3_Part_I), pages 668-684.
    13. 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.
    14. S Robinson, 2008. "Conceptual modelling for simulation Part II: a framework for conceptual modelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 291-304, March.
    15. S Robinson, 2008. "Conceptual modelling for simulation Part I: definition and requirements," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 278-290, March.
    16. Trebeck, David B. & Hardaker, J. Brian, 1972. "The Integrated Use Of Simulation And Stochastic Programming For Whole Farm Planning Under Risk," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 16(2), pages 1-12, August.
    17. Robert, Marion & Dury, Jérôme & Thomas, Alban & Therond, Olivier & Sekhar, Muddu & Badiger, Shrini & Ruiz, Laurent & Bergez, Jacques-Eric, 2016. "CMFDM: A methodology to guide the design of a conceptual model of farmers' decision-making processes," Agricultural Systems, Elsevier, vol. 148(C), pages 86-94.
    18. Mosnier, C. & Agabriel, J. & Lherm, M. & Reynaud, A., 2009. "A dynamic bio-economic model to simulate optimal adjustments of suckler cow farm management to production and market shocks in France," Agricultural Systems, Elsevier, vol. 102(1-3), pages 77-88, October.
    19. Adesina, Akinwumi A. & Sanders, John H., 1991. "Peasant farmer behavior and cereal technologies: Stochastic programming analysis in Niger," Agricultural Economics, Blackwell, vol. 5(1), pages 21-38, January.
    20. Aurbacher, Joachim & Parker, Phillip S. & Calberto Sánchez, Germán A. & Steinbach, Jennifer & Reinmuth, Evelyn & Ingwersen, Joachim & Dabbert, Stephan, 2013. "Influence of climate change on short term management of field crops – A modelling approach," Agricultural Systems, Elsevier, vol. 119(C), pages 44-57.
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    3. Chantal Gascuel & Michèle Tixier-Boichard & Benoit Dedieu & Cécile Détang-Dessendre & Pierre Dupraz & Philippe Faverdin & Laurent Hazard & Philippe Hinsinger & Isabelle Litrico-Chiarelli & Françoise M, 2019. "Réflexion prospective interdisciplinaire pour l’agroécologie. Rapport de synthèse," Post-Print hal-02154433, HAL.

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