Gestão no meio agrícola com o apoio da Inteligência Artificial: uma análise da digitalização da agricultura

Autores

DOI:

https://doi.org/10.17765/2176-9168.2022v15n3e9337

Palavras-chave:

Aprendizado de máquina, Árvore de decisão, E-agriculture, Robótica

Resumo

A aplicação da inteligência artificial aos dados dos sensores e os sistemas de gerenciamento de fazendas estão evoluindo para programas de acompanhamento em tempo real, que fornecem recomendações e insights valiosos em ação e apoio à decisão dos agricultores. Neste artigo, apresenta-se uma revisão dedicada a aplicações da inteligência artificial na produção agrícola. Os trabalhos analisados foram categorizados em: (a) redes neurais; (b) aprendizagem supervisionada; e (c) métodos dinâmicos. A categorização dos artigos demonstrou como a agricultura pode se beneficiar das tecnologias com o apoio da inteligência artificial, através do gerenciamento e tomada de decisão mais precisos, assim como otimizando a lucratividade, a produtividade e a sustentabilidade, resultando em métodos que podem ser eficazes se integrados a um sistema de informação robusto e construído em funções que podem ser cobertas por seus usuários.

Biografia do Autor

Marcelo da Costa Borba, Universidade Federal do Rio Grande do Sul - UFRGS

Doutor em Agronegócios na linha de Pesquisa de Gestão, Inovação, Tecnologia e Qualidade no Agronegócio no Programa de Pós-Graduação em Agronegócios da Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre (RS), Brasil.

Josefa Edileide Santos Ramos, Universidade Federal do Rio Grande do Sul - UFRGS

Doutoranda em Agronegócios pela Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre (RS), Brasil.

Bibiana Melo Ramborger, Universidade Federal do Rio Grande do Sul - UFRGS

Doutoranda em Agronegócios pela Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre (RS), Brasil.

Eluardo Oliveira Marques, Universidade Federal do Rio Grande do Sul - UFRGS

Doutorando em Agronegócios pela Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre (RS), Brasil

João Armando Dessimon Machado, Universidade Federal do Rio Grande do Sul - UFRGS

Doutor em Economia Agroalimentar pela Universidade de Córdoba, UCO, Espanha. Professor titular junto ao Departamento de Economia e Relações Internacionais/FCE da UFRGS na graduação e pós-graduação. Porto Alegre (RS), Brasil.

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Publicado

2022-07-01

Como Citar

Borba, M. da C., Ramos, J. E. S. ., Ramborger, B. M., Marques, E. O., & Machado, J. A. D. . (2022). Gestão no meio agrícola com o apoio da Inteligência Artificial: uma análise da digitalização da agricultura. Revista Em Agronegócio E Meio Ambiente, 15(3), 1–22. https://doi.org/10.17765/2176-9168.2022v15n3e9337

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v. 15 n. 3 (2022): jul./set.

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Agronegócio

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