Factors influencing the adoption of smart farming by Brazilian grain farmers

Detalhes bibliográficos
Autor(a) principal: Pivoto, Dieisson
Data de Publicação: 2019
Outros Autores: Barham, Bradford, Waquil, Paulo Dabdab, Foguesatto, Cristian Rogério, Corte, Vitor Francisco Dalla, Zhang, Debin, Talamini, Edson
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/210742
Resumo: Smart farming (SF) is a relatively new concept referring to the use of information and communication technology in farm management, focusing simultaneously on productivity, profitability, and conservation of natural resources. However, despite the benefits, the adoption rate of some SF technologies has not been uniform in some countries. The aim of this paper was to identify the barriers and determining factors influencing the decisions of grain farmers regarding adopting SF technologies. A sample of farmers in southern Brazil (n=119) was analyzed through descriptive analysis, Logit and Poisson models. The results showed there was no strict pattern in farmers’ profile, especially in terms of socioeconomic characteristics, to explain the adoption of SF technologies as a package. Adoption of some technologies requires more years of education and knowledge about how technology works, other technologies demand more scale. Broadly speaking, SF requires farmers to be open and receptive to this concept of agriculture.
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spelling Pivoto, DieissonBarham, BradfordWaquil, Paulo DabdabFoguesatto, Cristian RogérioCorte, Vitor Francisco DallaZhang, DebinTalamini, Edson2020-06-27T03:39:57Z20191559-2448http://hdl.handle.net/10183/210742001114556Smart farming (SF) is a relatively new concept referring to the use of information and communication technology in farm management, focusing simultaneously on productivity, profitability, and conservation of natural resources. However, despite the benefits, the adoption rate of some SF technologies has not been uniform in some countries. The aim of this paper was to identify the barriers and determining factors influencing the decisions of grain farmers regarding adopting SF technologies. A sample of farmers in southern Brazil (n=119) was analyzed through descriptive analysis, Logit and Poisson models. The results showed there was no strict pattern in farmers’ profile, especially in terms of socioeconomic characteristics, to explain the adoption of SF technologies as a package. Adoption of some technologies requires more years of education and knowledge about how technology works, other technologies demand more scale. Broadly speaking, SF requires farmers to be open and receptive to this concept of agriculture.application/pdfengInternational Food and Agribusiness Management Review - IFARM. Netherlands. Vol. 22, n. 4 (2019), p. 571-588AgriculturaInovação tecnológicaAutomação industrialSmart farmingInnovation in agricultureFuture farmingIndustry 4.0Factors influencing the adoption of smart farming by Brazilian grain farmersEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001114556.pdf.txt001114556.pdf.txtExtracted Texttext/plain68232http://www.lume.ufrgs.br/bitstream/10183/210742/2/001114556.pdf.txtb879b876ad8befc26f41362a73f907f5MD52ORIGINAL001114556.pdfTexto completo (inglês)application/pdf1169203http://www.lume.ufrgs.br/bitstream/10183/210742/1/001114556.pdfc61d56b5903d6433d59acce0ea86123aMD5110183/2107422021-03-09 04:39:28.97979oai:www.lume.ufrgs.br:10183/210742Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2021-03-09T07:39:28Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Factors influencing the adoption of smart farming by Brazilian grain farmers
title Factors influencing the adoption of smart farming by Brazilian grain farmers
spellingShingle Factors influencing the adoption of smart farming by Brazilian grain farmers
Pivoto, Dieisson
Agricultura
Inovação tecnológica
Automação industrial
Smart farming
Innovation in agriculture
Future farming
Industry 4.0
title_short Factors influencing the adoption of smart farming by Brazilian grain farmers
title_full Factors influencing the adoption of smart farming by Brazilian grain farmers
title_fullStr Factors influencing the adoption of smart farming by Brazilian grain farmers
title_full_unstemmed Factors influencing the adoption of smart farming by Brazilian grain farmers
title_sort Factors influencing the adoption of smart farming by Brazilian grain farmers
author Pivoto, Dieisson
author_facet Pivoto, Dieisson
Barham, Bradford
Waquil, Paulo Dabdab
Foguesatto, Cristian Rogério
Corte, Vitor Francisco Dalla
Zhang, Debin
Talamini, Edson
author_role author
author2 Barham, Bradford
Waquil, Paulo Dabdab
Foguesatto, Cristian Rogério
Corte, Vitor Francisco Dalla
Zhang, Debin
Talamini, Edson
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pivoto, Dieisson
Barham, Bradford
Waquil, Paulo Dabdab
Foguesatto, Cristian Rogério
Corte, Vitor Francisco Dalla
Zhang, Debin
Talamini, Edson
dc.subject.por.fl_str_mv Agricultura
Inovação tecnológica
Automação industrial
topic Agricultura
Inovação tecnológica
Automação industrial
Smart farming
Innovation in agriculture
Future farming
Industry 4.0
dc.subject.eng.fl_str_mv Smart farming
Innovation in agriculture
Future farming
Industry 4.0
description Smart farming (SF) is a relatively new concept referring to the use of information and communication technology in farm management, focusing simultaneously on productivity, profitability, and conservation of natural resources. However, despite the benefits, the adoption rate of some SF technologies has not been uniform in some countries. The aim of this paper was to identify the barriers and determining factors influencing the decisions of grain farmers regarding adopting SF technologies. A sample of farmers in southern Brazil (n=119) was analyzed through descriptive analysis, Logit and Poisson models. The results showed there was no strict pattern in farmers’ profile, especially in terms of socioeconomic characteristics, to explain the adoption of SF technologies as a package. Adoption of some technologies requires more years of education and knowledge about how technology works, other technologies demand more scale. Broadly speaking, SF requires farmers to be open and receptive to this concept of agriculture.
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-06-27T03:39:57Z
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dc.identifier.issn.pt_BR.fl_str_mv 1559-2448
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dc.relation.ispartof.pt_BR.fl_str_mv International Food and Agribusiness Management Review - IFARM. Netherlands. Vol. 22, n. 4 (2019), p. 571-588
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