Adoption of artificial intelligence based technologies in sub-saharan african agriculture

Detalhes bibliográficos
Autor(a) principal: Reiger, Benedikt
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/145589
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Adoption of artificial intelligence based technologies in sub-saharan african agricultureTechnologyAgricultureArtificial IntelligenceDesign ScienceSub-Saharan AfricaDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceSub-Saharan Africa (SSA) is currently facing numerous agriculture related challenges such as climate change, lacking infrastructure, and limited institutional as well as economic support. However, current research does not provide holistic solutions to this problem. This study aims to shed light on this topic through the development of a model that can be used to assess the solution potential as well as high-level implementation requirements of selected artificial intelligence (AI) based agriculture technologies in the context of SSA. To thoroughly develop the above-mentioned model a design science approach was followed. First an in depth (systematic) literature review was conducted where the agriculture related challenges in SSA and state-of-the-art AI-based agriculture technologies are detailed. This step was followed by the creation of a model that aims to find a nexus between the researched challenges and available technologies as potential solutions. Furthermore, the framework outlines context specific technology adoption requirements. Lastly, expert interviews were conducted to validate and revise the proposed model. The final framework clearly highlights the positive impact AI based technologies can have in SSA’s agriculture and the basic conditions that need to be met to successfully implement them.Santos, Vitor Manuel Pereira Duarte dosRUNReiger, Benedikt2022-11-17T16:58:40Z2022-10-262022-10-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/145589TID:203126220enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:26:08Zoai:run.unl.pt:10362/145589Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:09.988940Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Adoption of artificial intelligence based technologies in sub-saharan african agriculture
title Adoption of artificial intelligence based technologies in sub-saharan african agriculture
spellingShingle Adoption of artificial intelligence based technologies in sub-saharan african agriculture
Reiger, Benedikt
Technology
Agriculture
Artificial Intelligence
Design Science
Sub-Saharan Africa
title_short Adoption of artificial intelligence based technologies in sub-saharan african agriculture
title_full Adoption of artificial intelligence based technologies in sub-saharan african agriculture
title_fullStr Adoption of artificial intelligence based technologies in sub-saharan african agriculture
title_full_unstemmed Adoption of artificial intelligence based technologies in sub-saharan african agriculture
title_sort Adoption of artificial intelligence based technologies in sub-saharan african agriculture
author Reiger, Benedikt
author_facet Reiger, Benedikt
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Reiger, Benedikt
dc.subject.por.fl_str_mv Technology
Agriculture
Artificial Intelligence
Design Science
Sub-Saharan Africa
topic Technology
Agriculture
Artificial Intelligence
Design Science
Sub-Saharan Africa
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-11-17T16:58:40Z
2022-10-26
2022-10-26T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/145589
TID:203126220
url http://hdl.handle.net/10362/145589
identifier_str_mv TID:203126220
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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repository.mail.fl_str_mv
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