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Precision agriculture and the future of agrarian labor in the US food system

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  • Ayorinde Ogunyiola

    (Murray State University)

  • Ryan Stock

    (Northern Michigan University)

  • Maaz Gardezi

    (Virginia Tech)

Abstract

Precision Agriculture (PA) uses sensors, drones, and machine learning algorithms to provide farmers with site-specific information for targeted farm management decisions. These technological systems can reconfigure farm labor, replacing or displacing agrarian workers, especially unskilled, seasonal, hired, and migrant labor. Therefore, PA raises critical social questions that have implications for farmers’ autonomy and control over agrarian production systems. We critically examine the social consequences of PA through the theoretical lenses of accumulation by dispossession and the agrarian question of labor. We use data from six focus group discussions conducted during the Fall of 2019 in heterogeneous production systems in South Dakota and Vermont. We assert that agritech firms design PA technologies as accumulation strategies predicated on the dispossession of farmers’ autonomy and control over agrarian production systems. As such, PA is fundamentally reconfiguring the future of agrarian labor in the US food system.

Suggested Citation

  • Ayorinde Ogunyiola & Ryan Stock & Maaz Gardezi, 2025. "Precision agriculture and the future of agrarian labor in the US food system," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 42(1), pages 383-403, March.
    • Handle: RePEc:spr:agrhuv:v:42:y:2025:i:1:d:10.1007_s10460-024-10615-x
    DOI: 10.1007/s10460-024-10615-x
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