Dezembro 2024 vol. 11 num. 2 - X Simpósio Internacional de Inovação e Tecnologia

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RELIABILITY OF AGRICULTURAL MACHINERY: A SYSTEMATIC REVIEW

RELIABILITY OF AGRICULTURAL MACHINERY: A SYSTEMATIC REVIEW

Rodrigues, Fabrício Dias ; Rozario Junior, Robson Carlos Sousa ; Silva, Wilson Sebastião da ; Sena, Raffael Ribeiro Santos ; Lepikson, Herman Augusto ;

Completo:

"This article examines innovations in the reliability of agricultural machines, highlighting the integration of automation and artificial intelligence (AI) to enhance operational efficiency. Through a systematic review, is emphasized the importance of predictive maintenance and automation to minimize downtime and maximize productivity. The need for technical training, crucial for the effectiveness of the machines, is also discussed. In addition, stresses the need for collaboration among technologists, farmers, and academics to address adoption challenges and optimize maintenance practices for a more efficient and sustainable agriculture. The adoption of semi-supervised learning techniques is also discussed as an advancement to improve operational efficiency assessment."

Completo:

"This article examines innovations in the reliability of agricultural machines, highlighting the integration of automation and artificial intelligence (AI) to enhance operational efficiency. Through a systematic review, is emphasized the importance of predictive maintenance and automation to minimize downtime and maximize productivity. The need for technical training, crucial for the effectiveness of the machines, is also discussed. In addition, stresses the need for collaboration among technologists, farmers, and academics to address adoption challenges and optimize maintenance practices for a more efficient and sustainable agriculture. The adoption of semi-supervised learning techniques is also discussed as an advancement to improve operational efficiency assessment."

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Palavras-chave: Agricultural Automation; Artificial Intelligence; Predictive Maintenance; Operational integrity,

Palavras-chave: Agricultural Automation; Artificial Intelligence; Predictive Maintenance; Operational integrity,

DOI: 10.5151/siintec2024-391915

Referências bibliográficas
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Como citar:

Rodrigues, Fabrício Dias; Rozario Junior, Robson Carlos Sousa; Silva, Wilson Sebastião da; Sena, Raffael Ribeiro Santos; Lepikson, Herman Augusto; "RELIABILITY OF AGRICULTURAL MACHINERY: A SYSTEMATIC REVIEW", p. 1169-1176 . In: . São Paulo: Blucher, 2024.
ISSN 2357-7592, DOI 10.5151/siintec2024-391915

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