Exploring the susceptibility of smart farming: Identified opportunities and challenges

This paper presents a literature review and interview study exploring the opportunities and hurdles when implementing Artificial Intelligence (AI) in agricultural businesses. Three sectors in agriculture are scrutinized: arable farming, milk production and beef production. As a foundation for the pr...

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Autores principales:	Elsa Jerhamre, Carl Johan Casten Carlberg, Vera van Zoest
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Artificial intelligence Smart farming Precision agriculture Precision livestock farming Sweden Agriculture (General) S1-972 Agricultural industries HD9000-9495
Acceso en línea:	https://doaj.org/article/2dd643753ea3441aaf69d575f13d7bb0
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spelling	oai:doaj.org-article:2dd643753ea3441aaf69d575f13d7bb02021-12-04T04:36:45ZExploring the susceptibility of smart farming: Identified opportunities and challenges2772-375510.1016/j.atech.2021.100026https://doaj.org/article/2dd643753ea3441aaf69d575f13d7bb02022-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2772375521000265https://doaj.org/toc/2772-3755This paper presents a literature review and interview study exploring the opportunities and hurdles when implementing Artificial Intelligence (AI) in agricultural businesses. Three sectors in agriculture are scrutinized: arable farming, milk production and beef production. As a foundation for the project, a literature review revises former research on smart farming. Thereafter, an interview study with 21 respondents both explores the susceptibility and maturity of smart farming technologies and provides technical depth to three chosen applications of AI in agriculture. Although the focus of the study is on the Swedish context, the findings can be generalized to the European agricultural sector and even world-wide. Findings of the study include a diverse set of aspects that both enable and obstruct the transition. Main identified opportunities are the importance smart farming has on the strategic agendas of several industry stakeholders, the general trend towards software technology as a service through shared machinery, the vast amount of existing data, and the large interest from farmers towards new technology. Contrasting, the study identifies main hurdles as technical and legislative challenges to data ownership, potential cybersecurity threats, the need for a well-articulated business case, and the sometimes lacking technical knowledge within the sector. The paper concludes that the macro trend points towards a smart farming transition but that the speed of the transformation will depend on the resolutions for the identified obstacles.Elsa JerhamreCarl Johan Casten CarlbergVera van ZoestElsevierarticleArtificial intelligenceSmart farmingPrecision agriculturePrecision livestock farmingSwedenAgriculture (General)S1-972Agricultural industriesHD9000-9495ENSmart Agricultural Technology, Vol 2, Iss , Pp 100026- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Artificial intelligence Smart farming Precision agriculture Precision livestock farming Sweden Agriculture (General) S1-972 Agricultural industries HD9000-9495
spellingShingle	Artificial intelligence Smart farming Precision agriculture Precision livestock farming Sweden Agriculture (General) S1-972 Agricultural industries HD9000-9495 Elsa Jerhamre Carl Johan Casten Carlberg Vera van Zoest Exploring the susceptibility of smart farming: Identified opportunities and challenges
description	This paper presents a literature review and interview study exploring the opportunities and hurdles when implementing Artificial Intelligence (AI) in agricultural businesses. Three sectors in agriculture are scrutinized: arable farming, milk production and beef production. As a foundation for the project, a literature review revises former research on smart farming. Thereafter, an interview study with 21 respondents both explores the susceptibility and maturity of smart farming technologies and provides technical depth to three chosen applications of AI in agriculture. Although the focus of the study is on the Swedish context, the findings can be generalized to the European agricultural sector and even world-wide. Findings of the study include a diverse set of aspects that both enable and obstruct the transition. Main identified opportunities are the importance smart farming has on the strategic agendas of several industry stakeholders, the general trend towards software technology as a service through shared machinery, the vast amount of existing data, and the large interest from farmers towards new technology. Contrasting, the study identifies main hurdles as technical and legislative challenges to data ownership, potential cybersecurity threats, the need for a well-articulated business case, and the sometimes lacking technical knowledge within the sector. The paper concludes that the macro trend points towards a smart farming transition but that the speed of the transformation will depend on the resolutions for the identified obstacles.
format	article
author	Elsa Jerhamre Carl Johan Casten Carlberg Vera van Zoest
author_facet	Elsa Jerhamre Carl Johan Casten Carlberg Vera van Zoest
author_sort	Elsa Jerhamre
title	Exploring the susceptibility of smart farming: Identified opportunities and challenges
title_short	Exploring the susceptibility of smart farming: Identified opportunities and challenges
title_full	Exploring the susceptibility of smart farming: Identified opportunities and challenges
title_fullStr	Exploring the susceptibility of smart farming: Identified opportunities and challenges
title_full_unstemmed	Exploring the susceptibility of smart farming: Identified opportunities and challenges
title_sort	exploring the susceptibility of smart farming: identified opportunities and challenges
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/2dd643753ea3441aaf69d575f13d7bb0
work_keys_str_mv	AT elsajerhamre exploringthesusceptibilityofsmartfarmingidentifiedopportunitiesandchallenges AT carljohancastencarlberg exploringthesusceptibilityofsmartfarmingidentifiedopportunitiesandchallenges AT veravanzoest exploringthesusceptibilityofsmartfarmingidentifiedopportunitiesandchallenges
_version_	1718372842380197888

Exploring the susceptibility of smart farming: Identified opportunities and challenges

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