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Abstract

Understanding the social implications of automation in agriculture, from tractors in low-income countries to high-tech artificial intelligence (AI) solutions found mostly in high-income countries, requires viewing technology change on farms within the broader context of the agricultural transformation and agrifood systems, as well as changing economic incentives to develop and adopt labour-saving technologies. This paper provides an overview of the social implications of automation in agriculture, focusing on labour and employment, and provides policy recommendations. This working paper was developed as a background document for the FAO report "The State of Food and Agriculture 2022 – Leveraging automation in agriculture for transforming agrifood systems" (https://doi.org/10.4060/cb9479en).

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