Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: Martins, Elias Amorim
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/16853
Resumo: Agribusiness management studies the profile and the characteristics of agriculturists from RS, adepts, partially adepts and non-adepts of technologies that are part of Precision Farming, being evaluated the levels of adoption, perceptions and property productivity history. These data were tabulated and correlated for an overall systemic view of the environment related to Precision Farming and its technological tools. It`s about an exploratory descriptive research, opinion-based, non-probabilistic sample, where the sampled population consists in 61 farmers from 47 cities in RS (RS), whose main activity is soybean culture. By applying the research through questionnaire and interviews, it was possible to tabulate and correlate qualitative and quantitative information, as these gave rise to several data. The data set results as the predominant age group people over 41 years old with predominantly elementary and high school educational levels. In relation to the participants (employees) educational level, elementary education is predominant, and in the case of access to training, more than 50% of the contributors did not receive any type of training for their activities. Regarding the properties dimensions that were part of the research, 58,154 hectares were mapped, including 42,544 of crops, 8,512 of pasture and 7,098 of legal reserve, with an average of 953 hectares per property and 74 hectares per plot. By the data it was identified among the main technologies of Precision Farming, the use of GPS, digital maps and the Soil Fertility Mapping, in the opposite direction it was identified the harvest maps and the variable rate applicators with lower utilization rates, but these are offset by outsourcing where specialized companies compensate such deficits. Other relevant data, as a large percentage of non-adherents, 82% present to the Management Systems a productivity recording percentage of 26%. Among the main correlations, it was identified that the most used technology is the Soil Fertility Mapping, tool that can increase productivity in six bags per hectare. According to the adoption levels of Precision Farming, 79% are considered partial and slow, and the level of satisfaction on average is 8 in a ranking from 0-10. Thus, getting to a view that Precision Farming is one the big tendencies in gaucho and Brazilian agriculture, although there are difficulties due to procedures and people in an evolutionary process with tendencies for migration to a broad concept, the digital agriculture.
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spelling Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do SulDiagnosis of the adoption of precision agriculture technologies in rural properties of Rio Grande do SulGestão de processosAgricultura digitalPropriedades ruraisProdutividade agrícolaProcesses managementDigital agricultureRural propertiesAgricultural productivityCNPQ::CIENCIAS AGRARIAS::AGRONOMIAAgribusiness management studies the profile and the characteristics of agriculturists from RS, adepts, partially adepts and non-adepts of technologies that are part of Precision Farming, being evaluated the levels of adoption, perceptions and property productivity history. These data were tabulated and correlated for an overall systemic view of the environment related to Precision Farming and its technological tools. It`s about an exploratory descriptive research, opinion-based, non-probabilistic sample, where the sampled population consists in 61 farmers from 47 cities in RS (RS), whose main activity is soybean culture. By applying the research through questionnaire and interviews, it was possible to tabulate and correlate qualitative and quantitative information, as these gave rise to several data. The data set results as the predominant age group people over 41 years old with predominantly elementary and high school educational levels. In relation to the participants (employees) educational level, elementary education is predominant, and in the case of access to training, more than 50% of the contributors did not receive any type of training for their activities. Regarding the properties dimensions that were part of the research, 58,154 hectares were mapped, including 42,544 of crops, 8,512 of pasture and 7,098 of legal reserve, with an average of 953 hectares per property and 74 hectares per plot. By the data it was identified among the main technologies of Precision Farming, the use of GPS, digital maps and the Soil Fertility Mapping, in the opposite direction it was identified the harvest maps and the variable rate applicators with lower utilization rates, but these are offset by outsourcing where specialized companies compensate such deficits. Other relevant data, as a large percentage of non-adherents, 82% present to the Management Systems a productivity recording percentage of 26%. Among the main correlations, it was identified that the most used technology is the Soil Fertility Mapping, tool that can increase productivity in six bags per hectare. According to the adoption levels of Precision Farming, 79% are considered partial and slow, and the level of satisfaction on average is 8 in a ranking from 0-10. Thus, getting to a view that Precision Farming is one the big tendencies in gaucho and Brazilian agriculture, although there are difficulties due to procedures and people in an evolutionary process with tendencies for migration to a broad concept, the digital agriculture.A gestão do agronegócio estuda o perfil e as características de agricultores do Rio Grande do Sul (RS), adeptos, parcialmente adeptos e não adeptos as tecnologias que fazem parte da Agricultura de Precisão (AP),sendo avaliado os níveis de adoção, percepções e históricos de produtividade das propriedades. Estes dados foram tabulados e correlacionados para uma visão sistêmica do meio com relação à AP e suas ferramentas tecnológicas.Trata-se de uma pesquisa exploratória descritiva, de opinião, com amostragem não probabilística, onde fazem parte da população amostral 61 agricultores de 47 cidades do Estado do RS, estes tem como principal atividade a sojicultura. Com a aplicação da pesquisa através de questionários e entrevistas foi possível tabular e correlacionar informações qualitativas e quantitativas, estas deram origem a vários dados. Estes dados configuram resultados como faixa etária predominante acima 41 anos com nível de escolaridade predominantemente de ensino fundamental e médio. Em relação ao nível de escolaridade dos colaboradores (empregados) é predominante o ensino fundamental, e se tratando de acesso a treinamentos mais de 50% dos colaboradores não recebeu nenhum tipo de treinamento para suas atividades. Em relação às dimensões das propriedades que fizeram parte da pesquisa mapeou-se58.154 hectares, destes 42.544 de lavoura, 8.512 de pastagem e 7.098 de reserva legal, com uma média de 953 hectares por propriedade e 74 hectares por talhão. Com os dados identificou-se entre as principais tecnologias da AP o uso de GPS, Mapas Digitais e o Mapeamento de Fertilidade do Solo, em sentido oposto identificou-se os Mapas de Colheita e os Aplicadores a Taxa Variável com menores índices de utilização, porém estes são compensados pela terceirização onde empresas especializadas suprem estes déficits. Demais dados relevantes como grande percentual de não adeptos 82% aos Sistemas de Gestão apresentam um percentual de registros de produtividades de 26%.Dentre as principais inferências identificou-se que a tecnologia mais utilizada é o Mapeamento de Fertilidade do Solo, ferramenta que pode aumentar a produtividade em seis sacas por hectares. Os níveis de adoção da AP são considerados parciais e lentos 79% e o nível de satisfação em média é de nota 8 em um ranking de 0 – 10. Assim chegando a uma visão de que a AP é uma das grandes tendências da agricultura gaúcha e brasileira, embora exista dificuldade com relação a processos e pessoas num processo evolutivo com tendências de migração para um conceito amplo, a Agricultura Digital.Universidade Federal de Santa MariaBrasilTecnologia em Agricultura de PrecisãoUFSMPrograma de Pós-Graduação em Agricultura de PrecisãoColégio Politécnico da UFSMCardoso, Claire Delfini Vianahttp://lattes.cnpq.br/4489154182912581Russini, Alexandrehttp://lattes.cnpq.br/4912380699178131Fiorin, Jackson Ernanihttp://lattes.cnpq.br/6845721050199588Martins, Elias Amorim2019-06-10T18:03:34Z2019-06-10T18:03:34Z2018-11-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/16853porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2022-08-25T15:43:09Zoai:repositorio.ufsm.br:1/16853Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-08-25T15:43:09Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
Diagnosis of the adoption of precision agriculture technologies in rural properties of Rio Grande do Sul
title Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
spellingShingle Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
Martins, Elias Amorim
Gestão de processos
Agricultura digital
Propriedades rurais
Produtividade agrícola
Processes management
Digital agriculture
Rural properties
Agricultural productivity
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
title_full Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
title_fullStr Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
title_full_unstemmed Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
title_sort Diagnóstico da adoção de tecnologias de agricultura de precisão em propriedades rurais do Rio Grande do Sul
author Martins, Elias Amorim
author_facet Martins, Elias Amorim
author_role author
dc.contributor.none.fl_str_mv Cardoso, Claire Delfini Viana
http://lattes.cnpq.br/4489154182912581
Russini, Alexandre
http://lattes.cnpq.br/4912380699178131
Fiorin, Jackson Ernani
http://lattes.cnpq.br/6845721050199588
dc.contributor.author.fl_str_mv Martins, Elias Amorim
dc.subject.por.fl_str_mv Gestão de processos
Agricultura digital
Propriedades rurais
Produtividade agrícola
Processes management
Digital agriculture
Rural properties
Agricultural productivity
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Gestão de processos
Agricultura digital
Propriedades rurais
Produtividade agrícola
Processes management
Digital agriculture
Rural properties
Agricultural productivity
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Agribusiness management studies the profile and the characteristics of agriculturists from RS, adepts, partially adepts and non-adepts of technologies that are part of Precision Farming, being evaluated the levels of adoption, perceptions and property productivity history. These data were tabulated and correlated for an overall systemic view of the environment related to Precision Farming and its technological tools. It`s about an exploratory descriptive research, opinion-based, non-probabilistic sample, where the sampled population consists in 61 farmers from 47 cities in RS (RS), whose main activity is soybean culture. By applying the research through questionnaire and interviews, it was possible to tabulate and correlate qualitative and quantitative information, as these gave rise to several data. The data set results as the predominant age group people over 41 years old with predominantly elementary and high school educational levels. In relation to the participants (employees) educational level, elementary education is predominant, and in the case of access to training, more than 50% of the contributors did not receive any type of training for their activities. Regarding the properties dimensions that were part of the research, 58,154 hectares were mapped, including 42,544 of crops, 8,512 of pasture and 7,098 of legal reserve, with an average of 953 hectares per property and 74 hectares per plot. By the data it was identified among the main technologies of Precision Farming, the use of GPS, digital maps and the Soil Fertility Mapping, in the opposite direction it was identified the harvest maps and the variable rate applicators with lower utilization rates, but these are offset by outsourcing where specialized companies compensate such deficits. Other relevant data, as a large percentage of non-adherents, 82% present to the Management Systems a productivity recording percentage of 26%. Among the main correlations, it was identified that the most used technology is the Soil Fertility Mapping, tool that can increase productivity in six bags per hectare. According to the adoption levels of Precision Farming, 79% are considered partial and slow, and the level of satisfaction on average is 8 in a ranking from 0-10. Thus, getting to a view that Precision Farming is one the big tendencies in gaucho and Brazilian agriculture, although there are difficulties due to procedures and people in an evolutionary process with tendencies for migration to a broad concept, the digital agriculture.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-24
2019-06-10T18:03:34Z
2019-06-10T18:03:34Z
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://repositorio.ufsm.br/handle/1/16853
url http://repositorio.ufsm.br/handle/1/16853
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Tecnologia em Agricultura de Precisão
UFSM
Programa de Pós-Graduação em Agricultura de Precisão
Colégio Politécnico da UFSM
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Tecnologia em Agricultura de Precisão
UFSM
Programa de Pós-Graduação em Agricultura de Precisão
Colégio Politécnico da UFSM
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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