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Agriculture Employment and the Role of AI in Improving Productivity

In: Machine Learning and Artificial Intelligence for Agricultural Economics

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  • Chandrasekar Vuppalapati

    (San Jose State University)

Abstract

Explanations on the importance of the agricultural sector in the economy as economic growth progresses have benefitted greatly from the dual sector theory of Arthur Lewis. In this theory, the modern service or industrial sector utilizes the surplus labor in the agricultural or primary sector as its source of growth, along with the capital generated by the investment of savings, to expand its production and thus the gross output of the economy [1]. As the services or industrial (modern) sector expands in importance, there is a concomitant reduction in the percentage contribution to gross output by the agricultural sector (please see Table 6.1). This growth process thus generally requires the movement of labor from rural areas to urban areas with a decline of the rural population as a percentage of the national population. Paradoxically, the rural population and percentage of agriculture employment to total employment play an important role in the growth of agriculture. In the following figure, you can observe employment change trend in the agriculture (decline) and service industries (increase).

Suggested Citation

  • Chandrasekar Vuppalapati, 2021. "Agriculture Employment and the Role of AI in Improving Productivity," International Series in Operations Research & Management Science, in: Machine Learning and Artificial Intelligence for Agricultural Economics, chapter 0, pages 429-478, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-77485-1_6
    DOI: 10.1007/978-3-030-77485-1_6
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