Adoption of artificial intelligence based technologies in sub-saharan african agriculture
Autor(a) principal: | |
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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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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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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138113544519680 |