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首页> 外文期刊>Computers and Electronics in Agriculture >Smartphone apps as a new method to collect data on smallholder farming systems in the digital age: A case study from Zambia
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Smartphone apps as a new method to collect data on smallholder farming systems in the digital age: A case study from Zambia

机译：智能手机应用作为一种新方法，用于在数字时代的小农农业系统上收集数据：赞比亚的案例研究

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摘要

Across the developing world, the spread of mobile- and smartphones has led to a surge in mobile services for rural populations. While the potentials of mobile services to provide development opportunities for smallholder farmers are widely acknowledged, the potentials to use smartphone applications to collect data on smallholder farming systems are little explored. Yet, researchers studying farming systems need good quality data. So far, data on smallholder farming systems is typically collected using household surveys. Survey questions are prone to recall biases, however, which can be substantial. This paper assesses whether smartphone can be used to collect data in real time and thus increase the accuracy of socioeconomic and agronomic data collection. In this paper, we present a smartphone application that was developed for this purpose. We use the application to analyze the effects of agricultural mechanization on intra-household time-use and nutrition in rural Zambia. While the early, descriptive results shed interesting light on the effects of mechanization, the contribution of this study is primarily methodological. The study highlights the potentials of using smartphone applications to collect socioeconomic and agronomic data on smallholder-farming systems, potentially in real time. It also suggests ways to combine data recorded by respondents with built-in sensors of smartphones and external sensors and thus shows fascinating new pathways for researchers in the digital age.
机译：在发展中国家，移动和智能手机的传播导致农村人口的移动服务激增。虽然移动服务的潜力为小农农民提供发展机会得到了广泛认可，但探讨了使用智能手机应用来收集小农农业系统数据的潜力。然而，研究农业系统的研究人员需要质量良好的数据。到目前为止，通常使用家庭调查收集小农农业系统的数据。然而，调查问题易于召回偏见，这可能很大。本文评估了智能手机是否可用于实时收集数据，从而提高社会经济和农艺数据收集的准确性。在本文中，我们提供了一个为此目的而开发的智能手机应用程序。我们使用该申请分析农业机械化对自治区农村间隔时间和营养的影响。虽然早期，描述性结果揭示了机械化的影响的有趣光，但本研究的贡献主要是方法论。该研究突出了使用智能手机应用来利用诸如实时潜在的小农农业系统的社会经济和农艺数据的潜力。它还建议将受访者记录的数据与智能手机和外部传感器的内置传感器相结合，从而为数字时代的研究人员表示令人着迷的新途径。

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