ARTIFICIAL INTELLIGENCE IN IRRIGATION AND DRAINAGE RESEARCH

Authors

  • Cesar de Oliveira Ferreira Silva Faculdade de Ciências Agronômicas - Botucatu -Universidade Estadual Paulista "Júlio de Mesquita Filho"

DOI:

https://doi.org/10.15809/irriga.2023v28n2p417-426

Abstract

INTELIGÊNCIA ARTIFICIAL NA PESQUISA EM IRRIGAÇÃO E DRENAGEM

 

 

CÉSAR DE OLIVEIRA FERREIRA SILVA1

 

1 Stormgeo, Avenida Mutinga, 4935, CEP 05110-903, São Paulo, SP, Brasil, cesaroliveira.f.silva@gmail.com.

 

 

1 RESUMO

 

Essa nota científica apresenta a conceituação dos diferentes subcampos da Inteligência Artificial (IA), incluindo Ciência de Dados, Aprendizado de Máquina, Aprendizado Estatístico, Aprendizado Profundo e Aprendizado Generativo, para identificar e descrever as aplicações potenciais de cada um desses subcampos da IA no campo da irrigação e drenagem agrícola. A nota traz conceitos e termos elementares da IA aplicada a problemas reais na pesquisa em irrigação e drenagem, reflexões sobre os elementos das diferentes modelagens e suas aplicações, e perspectivas sobre os usos presentes e futuros destas técnicas.

 

Keywords: hidrologia, meteorologia, agricultura, ensino, pesquisa

 

 

SILVA, C.O.F.

ARTIFICIAL INTELLIGENCE IN IRRIGATION AND DRAINAGE RESEARCH

 

 

2 ABSTRACT

 

This scientific note presents the conceptualization of different subfields of Artificial Intelligence (AI), including Data Science, Machine Learning, Statistical Learning, Deep Learning and Generative Learning, to identify and describe the potential applications of each of these AI subfields in the agricultural irrigation and drainage research. The note includes concepts and basic terms of AI applied to real problems in irrigation and drainage research, reflections on the elements of the different models and their applications, and perspectives on the present and future uses of these techniques.

 

Keywords: hydrology, meteorology, agriculture, teaching, research

 

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Published

2023-06-30

How to Cite

SILVA, Cesar de Oliveira Ferreira. ARTIFICIAL INTELLIGENCE IN IRRIGATION AND DRAINAGE RESEARCH. IRRIGA, [S. l.], v. 28, n. 2, p. 417–426, 2023. DOI: 10.15809/irriga.2023v28n2p417-426. Disponível em: https://revistas.fca.unesp.br/index.php/irriga/article/view/4784. Acesso em: 4 jan. 2025.

Issue

Vol. 28 No. 2 (2023): Irriga

Section

Artigos

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Copyright (c) 2023 IRRIGA

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