Adoção de tecnologias de diagnóstico do solo em agricultura de precisão por produtores de soja em Goiás e Distrito Federal

• Ano de defesa: 2017
• Autor(a) principal: Pinto, Heverton Eustaquio
• Orientador(a): Teixeira, Sônia Milagres
• Banca de defesa: Teixeira, Sônia Milagres , Alcântara Neto, Waldomiro, Silva, Aluisio Goulart, Wander, Alcido Elenor, Quintela, Eliane Dias
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Agronegócio (EAEA)
• Departamento: Escola de Agronomia e Engenharia de Alimentos - EAEA (RG)
• País: Brasil
• Palavras-chave em Português: Adoção de tecnologias; Agricultura de precisão; Econometria; Complementariedade; Substitutabilidade
• Palavras-chave em Inglês: Technology adoption; Precision agriculture; Econometrics; Complementarity; Substitutability
• Área do conhecimento CNPq: CIENCIAS AGRARIAS::AGRONOMIA
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/7045

The use of technology in production has become the main driver for the competitiveness of agricultural businesses. Investigating the process of technological adoption in a society that presents a heterogeneous technological structure is essential for a harmonious modernization process on the field. The present study investigates the process of adopting technologies in precision agriculture in the states of Goiás and Federal District, in Central Brazil. By means of primary data, the characterization of farm usage, its conditioning factors for adoption and their interactions, through estimation of econometric models. In view of the 15 years of commercial availability in Brazil of the main technologies in precision agriculture, soybean producers in the region have been adopting this set of technologies, on average, for 5 years. The use of management practices, previous experience with technologies, participation in cooperative networks were important conditioning factors for adoption, as well as their time of adopting technologies in agronomic diagnoses. The use of these technologies is initially interrelated, however, when interacting with the size of farm, with time of adoption of soil diagnoses technologies, grid soil sample and remote censoring become substitutes. The data show that the larger farm size, the greater the substitution effect. Policies that aim at the formation of cooperatives and implementation of technical infrastructure of communication should be implemented for the adoption and diffusion of technologies in precision agriculture, thus acting by these indications, public sector can foment the modernizing process in the field.