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Bridging the gap between models and users: A lightweight mobile interface for optimized farming decisions in interactive modeling sessions
Agricultural Systems ( IF 6.1 ) Pub Date : 2021-11-12 , DOI: 10.1016/j.agsy.2021.103315
Johannes Mössinger 1 , Christian Troost 2 , Thomas Berger 2
Affiliation  

CONTEXT

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.

OBJECTIVE

This article revisits the rationale for interactive MP modeling and explores whether it can be upheld in practice. We evaluate whether a lightweight graphical interface that can be quickly adapted to practical applications of whole-farm planning can help bridge the gap between models and users.

METHODS

We present a user interface for whole-farm MP models implemented in the open-source statistical programming language R. We apply the tool in a participatory research process in Paraguay, analyzing the opportunities and barriers to adoption of new agroforestry options for smallholder farmers. Using in-depth interviews and participant feedback, we evaluate the tool's accessibility, credibility and relevance as well as its contribution to bridging knowledge gaps in the overall research process.

RESULTS AND CONCLUSIONS

In our explorative case study, interactive MP modeling provided essential insights into the local farming system and was highly accepted by smallholder farmers and extension workers. We observed a high interest in structured farm analysis, planning and education for smallholder agriculture. The lightweight user interface contributed to efficient and successful interaction between models and users.

SIGNIFICANCE

Interactive modeling helps to improve the application of whole-farm MP modeling in agricultural systems analysis. Case study examples and a quickly customizable interface can lower the barriers for using interactive MP modeling with farmers and other stakeholders. With the recent wave of digitalization in agriculture, the insights obtained here are also relevant for the development of digital farm management tools for systematic whole-farm planning.



中文翻译:

弥合模型和用户之间的差距:用于在交互式建模会话中优化农业决策的轻量级移动界面

语境

全农场数学规划 (MP) 模型有助于理解将整个农业系统考虑在内的农场规划决策的复杂含义。在与农民的直接互动中应用优化模型不仅可以改进对作物-畜牧混合农场系统的建议。在此类互动会议中揭示的隐性农民知识还可以为农业政策或技术采用的科学分析中农民行为的描述性和预测性模型提供有价值的输入。迄今为止,概念和技术知识的鸿沟阻碍了 MP 在与田间农民互动建模中的广泛使用。

客观的

本文重新审视了交互式 MP 建模的基本原理,并探讨了它是否可以在实践中得到支持。我们评估可以快速适应整个农场规划实际应用的轻量级图形界面是否有助于弥合模型和用户之间的差距。

方法

我们为在开源统计编程语言 R 中实现的全农场 MP 模型提供了一个用户界面。我们在巴拉圭的参与式研究过程中应用了该工具,分析了小农采用新农林业选择的机会和障碍。通过深入访谈和参与者反馈,我们评估了该工具的可访问性、可信度和相关性,以及它对弥合整个研究过程中知识差距的贡献。

结果和结论

在我们的探索性案例研究中,交互式 MP 建模提供了对当地农业系统的重要见解,并得到了小农和推广人员的高度认可。我们观察到人们对小农农业的结构化农场分析、规划和教育很感兴趣。轻量级用户界面有助于模型和用户之间高效、成功的交互。

意义

交互式建模有助于改进整个农场 MP 建模在农业系统分析中的应用。案例研究示例和快速可定制的界面可以降低与农民和其他利益相关者使用交互式 MP 建模的障碍。随着最近农业数字化浪潮,这里获得的见解也与开发用于系统化整个农场规划的数字农场管理工具有关。

更新日期:2021-11-13
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