Inteligência artificial na agricultura de precisão: tendências e direções futuras
DOI:
https://doi.org/10.35588/mwfneb13Palavras-chave:
Agricultura de precisão, inteligência artificial, Sustentabilidade agrícola, adoção de tecnologiaResumo
A demanda pela produção agrícola global levou à busca de diferentes ferramentas que contribuem para o gerenciamento ideal dos recursos. Esta pesquisa apresenta um mapeamento bibliométrico do uso da inteligência artificial na agricultura de precisão por meio da análise de 479 artigos publicados entre 2019 e 2024 nas bases de dados Scopus e Web of Science, permitindo identificar uma maior produção científica em países com forte investimento tecnológico. A IA revolucionou a AP por meio do uso de sensores, aprendizado de máquina, robótica e análise preditiva, melhorando a produtividade, reduzindo custos e mitigando os impactos ambientais, o que possibilitou o desenvolvimento de linhas de pesquisa que incluem monitoramento de culturas, detecção precoce de doenças, irrigação inteligente e agricultura sustentável. No entanto, a adoção enfrenta barreiras, como a exclusão digital, os altos custos iniciais e o treinamento técnico limitado nas áreas rurais. Portanto, se a previsão é de uma agricultura mais eficiente, resiliente e inclusiva, é necessária uma implementação estratégica, gradual e específica ao contexto.
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Direitos de Autor (c) 2025 Dr. Oscar Fabian Patiño Perdomo, Dr. Víctor Julio Balanta Martínez, Dr. Wilmer Arley Patiño Perdomo, Paula Andrea Sánchez Orozco, Dr. Jesús Emilio Pinto Lopera
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição 4.0.
