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How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis

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Title:How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis
Authors:Lakshmi, Vijaya
Corbett, Jacqueline
Keywords:AI and Sustainability: The Use of AI in Sustainability Initiatives
agriculture
ai
cra
dynamic capabilities
show 2 moreproductivity
sustainability
show less
Date Issued:07 Jan 2020
Abstract:Amidst the rising issues of food security and climate change, the agricultural sector has started deploying artificial intelligence (AI) in business operations. While many potential AI benefits are anticipated, a comprehensive understanding of the objectives motivating AI adoption and its impacts is lacking. This research attempts to fill this gap by exploring the key themes related to the use of AI in agriculture through the lens of dynamic capabilities. Using centering resonance analysis, we conduct text mining of news articles from 2014-2019 in the regions of Asia, Africa, Europe, and North America to identify how AI is addressing significant farming challenges. Globally, the results suggest that AI is primarily being applied to increase productivity and efficiency and secondarily to address labor shortages and environmental sustainability concerns. At regional level, the results reflect active AI adoption in North America and Europe with increasing efforts in Asia and Africa.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/64381
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.639
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: AI and Sustainability: The Use of AI in Sustainability Initiatives


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