Factors influencing the adoption of smart farming by Brazilian grain farmers
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
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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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 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/210742 |
dc.identifier.issn.pt_BR.fl_str_mv |
1559-2448 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001114556 |
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1559-2448 001114556 |
url |
http://hdl.handle.net/10183/210742 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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UFRGS |
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Repositório Institucional da UFRGS |
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Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
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lume@ufrgs.br |
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