人工智能对欧洲农业劳动力的影响

Shivaan Munnisunker, L. Nel, Dawid Diederichs
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引用次数: 1

摘要

人工智能(AI)将重新定义农业生产方式。纵观历史,技术进步的例子表明,在增加粮食产量的同时,农场所需的劳动力减少了。然而,一个有趣的观察是,随着技术改善了农业过程并取代了工人,它开辟了一条被称为多样化的新途径。本文特别关注人工智能对欧洲农业未来的影响。这些文献揭示了一个共同的趋势,即技术创新总是减少了农业生产过程中所需的工人数量,同时又使效率最大化。人工智能也将遵循同样的趋势,然而,目前的观察表明,农民仍然需要工人与人工智能一起工作,而不是很快消除农业过程中的工人。增加人工智能投资的原因是,研究数据显示,欧洲人口增长放缓,农民的盈利能力陷入困境。因此,分析人士认为,劳动力短缺将会发生,各行业将难以满足这些技能需求。对人工智能技术的发展对欧洲农业部门劳动力的影响进行了定性总结。
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The Impact of Artificial Intelligence on Agricultural Labour in Europe
Artificial Intelligence (AI) is set to redefine how farming occurs. Throughout history examples of technological advances have shown that less labour has been required on a farm while at the same time increasing the output of food production. However, an interesting observation is that as technology has improved the farming process and replaced workers, it has opened a new avenue known as diversification. This paper focuses specifically on the impact that AI will have on the future of farming in the European sector. The literature brings to light common trends that technological innovations have always decreased the number of workers required in the farming process while at the same time maximising efficiency. AI will also follow the same trend, however, instead of eliminating workers in the farming process soon, the present observations show that farmers will still require workers to work alongside AI. The reason for increased investments in AI is due to research data showing a decline in population growth in Europe and the struggling profitability of farmers. Thereby analysts believe that a labour shortage will occur, and industries will struggle to fill those skills requirements. A qualitative summary was done on artificial intelligence technologies’ development impact on the labour of the agricultural sector of Europe.
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来源期刊
International Journal of Sustainable Agricultural Management and Informatics
International Journal of Sustainable Agricultural Management and Informatics Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
2.30
自引率
50.00%
发文量
23
期刊最新文献
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