Governing by data: metrics and sustainability in produce agriculture

Abstract

Although digital technologies often receive the bulk of media and academic attention, there is another crucial aspect of the data revolution in agriculture: governance frameworks for collecting and analyzing data. Metrics are increasingly being used to facilitate the collection of data and convert it into useful forms. While there is growing interest in using metrics and data to enhance the sustainability of food and agriculture, there is a lack of research on how metrics are put into practice and to what degree their use leads to improved sustainability. To address this knowledge gap, this article examines the implementation of sustainability metrics in produce agriculture in the United States. Specifically, the focus is on the processes of on-farm metrics use– data generation, data analysis, and data-based decision-making. We find that implementing metrics involves several tensions for farmers, including metrics’ ability to capture the complexity of produce agriculture, how metrics align with farmers’ tacit and experiential knowledge, and the impact of metrics on farmer autonomy. Our findings suggest that for the use of metrics to improve sustainability it is crucial to understand how social, cultural, and material conditions intersect with metrics. To better account for such conditions, farmers need more voice in how metrics are implemented and data is used.