Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability

This paper presents an exploration of public discourse surrounding the use of artificial intelligence (AI) in agriculture, specifically related to precision agriculture techniques. (1) Advancements in the use of AI have increased its implementation in the agricultural sector, often framed as a susta...

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Autores principales:	Catherine E. Sanders, Kennedy A. Mayfield-Smith, Alexa J. Lamm
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	artificial intelligence systems thinking Twitter social media discourse sustainable innovations Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/5973c30b8a93494ebc92fea94a97fb6b
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spelling	oai:doaj.org-article:5973c30b8a93494ebc92fea94a97fb6b2021-11-11T19:41:40ZExploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability10.3390/su1321120332071-1050https://doaj.org/article/5973c30b8a93494ebc92fea94a97fb6b2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12033https://doaj.org/toc/2071-1050This paper presents an exploration of public discourse surrounding the use of artificial intelligence (AI) in agriculture, specifically related to precision agriculture techniques. (1) Advancements in the use of AI have increased its implementation in the agricultural sector, often framed as a sustainable solution for feeding a growing global population. However, lessons learned from previous agricultural innovations indicate that new technologies may face public scrutiny and suspicion, limiting the dissemination of the innovation. Using systems thinking approaches can help to improve the development and dissemination of agricultural innovations and limit the unintended consequences of innovations within society. (2) To analyze the current discourse surrounding AI in agriculture, a content analysis was conducted on Twitter using Meltwater to select tweets with specific reach and engagement. (3) Seven themes resulted from the analysis: precision agriculture and digital technology innovation; transformation and the future of agriculture; accelerate solutions, solve challenges; data management and accessibility; transforming crop management, prioritizing adoption; and AI and sustainability. (4) The discourse on AI in agriculture on Twitter was overwhelmingly positive, failing to account for the potential drawbacks or limits of the innovation. This paper examines the limits of the current communication and outreach across environmental, economic, social, cultural, political, and behavioral contexts.Catherine E. SandersKennedy A. Mayfield-SmithAlexa J. LammMDPI AGarticleartificial intelligencesystems thinkingTwittersocial mediadiscoursesustainable innovationsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12033, p 12033 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence systems thinking Twitter social media discourse sustainable innovations Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	artificial intelligence systems thinking Twitter social media discourse sustainable innovations Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Catherine E. Sanders Kennedy A. Mayfield-Smith Alexa J. Lamm Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability
description	This paper presents an exploration of public discourse surrounding the use of artificial intelligence (AI) in agriculture, specifically related to precision agriculture techniques. (1) Advancements in the use of AI have increased its implementation in the agricultural sector, often framed as a sustainable solution for feeding a growing global population. However, lessons learned from previous agricultural innovations indicate that new technologies may face public scrutiny and suspicion, limiting the dissemination of the innovation. Using systems thinking approaches can help to improve the development and dissemination of agricultural innovations and limit the unintended consequences of innovations within society. (2) To analyze the current discourse surrounding AI in agriculture, a content analysis was conducted on Twitter using Meltwater to select tweets with specific reach and engagement. (3) Seven themes resulted from the analysis: precision agriculture and digital technology innovation; transformation and the future of agriculture; accelerate solutions, solve challenges; data management and accessibility; transforming crop management, prioritizing adoption; and AI and sustainability. (4) The discourse on AI in agriculture on Twitter was overwhelmingly positive, failing to account for the potential drawbacks or limits of the innovation. This paper examines the limits of the current communication and outreach across environmental, economic, social, cultural, political, and behavioral contexts.
format	article
author	Catherine E. Sanders Kennedy A. Mayfield-Smith Alexa J. Lamm
author_facet	Catherine E. Sanders Kennedy A. Mayfield-Smith Alexa J. Lamm
author_sort	Catherine E. Sanders
title	Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability
title_short	Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability
title_full	Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability
title_fullStr	Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability
title_full_unstemmed	Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability
title_sort	exploring twitter discourse around the use of artificial intelligence to advance agricultural sustainability
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5973c30b8a93494ebc92fea94a97fb6b
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Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability

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