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Bridging the gap between models and users: A lightweight mobile interface for optimized farming decisions in interactive modeling sessions

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  • Mössinger, Johannes
  • Troost, Christian
  • Berger, Thomas

Abstract

Whole-farm mathematical programming (MP) models help to understand the complex implications of farm planning decisions taking the full agricultural system into account. Applying optimization models in direct interaction with farmers goes beyond leading to improved recommendations for mixed crop-livestock farm systems. The tacit farmer knowledge revealed in such interaction sessions can also provide valuable input for descriptive and predictive models of farmer behavior in scientific analyses of agricultural policy or technology adoption. To date, a conceptual and technical knowledge divide has prevented the widespread use of MP in interactive modeling with farmers in the field.

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  • Mössinger, Johannes & Troost, Christian & Berger, Thomas, 2022. "Bridging the gap between models and users: A lightweight mobile interface for optimized farming decisions in interactive modeling sessions," Agricultural Systems, Elsevier, vol. 195(C).
    • Handle: RePEc:eee:agisys:v:195:y:2022:i:c:s0308521x21002687
    DOI: 10.1016/j.agsy.2021.103315
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    Cited by:

    1. Christian Troost & Julia Parussis-Krech & Matías Mejaíl & Thomas Berger, 2023. "Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 721-759, October.
    2. Yismaw, Habtamu & Troost, Christian & Berger, Thomas, 2024. "Dark clouds building up over trees? A simulation-based assessment of smallholder acacia investment in Ethiopia," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344393, International Association of Agricultural Economists (IAAE).
    3. Yang, Pan & Cai, Ximing & Hu, Xinchen & Zhao, Qiankun & Lee, Yuanyao & Khanna, Madhu & Cortés-Peña, Yoel R. & Guest, Jeremy S. & Kent, Jeffrey & Hudiburg, Tara W. & Du, Erhu & John, Steve & Iutzi, Fre, 2022. "An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.

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