Agricultural management through Artificial Intelligence: an analysis of digitization of agriculture

Authors

DOI:

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

Keywords:

Machine learning, Decision tree, E-agriculture, Robotics

Abstract

The application of artificial intelligence to sensor data and management systems in farms are developing to follow-up programs in real time, furnishing recommendations and insights in activities and support to farmers´ decisions. A review on the application of artificial intelligence in agricultural production is provided. Types of research were listed (a) neural networks; (b) supervised learning and (c) dynamic methods. Categorization of articles showed the manner agriculture may benefit by technologies through artificial intelligence by management, more precise decision-taking, optimization of profits, productivity and sustainability. This results in methods with great efficiency when integrated to a robust information system constructed on functions that may be managed by users.

Author Biographies

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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Published

2022-07-01

How to Cite

Borba, M. da C., Ramos, J. E. S. ., Ramborger, B. M., Marques, E. O., & Machado, J. A. D. . (2022). Agricultural management through Artificial Intelligence: an analysis of digitization of agriculture. Revista Em Agronegócio E Meio Ambiente, 15(3), 1–22. https://doi.org/10.17765/2176-9168.2022v15n3e9337

Issue

Vol. 15 No. 3 (2022): jul./set.

Section

Agrobusiness

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