Potential of using statistical quality control in agriculture 4.0

Rouverson Pereira da Silva, Adão Felipe dos Santos, Bruno Rocca de Oliveira, Jarlyson Brunno Costa Souza, Danilo Tedesco de Oliveira, Franciele Morlin Carneiro

Resumo


Agriculture 4.0 involves the incorporation of information and communication technologies into machines, equipment, and sensors for use in agricultural production systems. It aims to ease decision-making in agricultural processes. Statistical Quality Control (SQC) is a statistical method with several techniques and tools used to analyze the variability. These tools can be used to provide important information for decision making, including for mechanized agricultural operations. This paper aimed to characterize the worldwide scientific literature on Statistical Process Control use in mechanized agricultural processes, demonstrating its potential to be incorporated into Agriculture 4.0. Our research involved a bibliometric survey on Scopus and Academic Google databases. The analyzed studies allowed us to infer that SQC tools may improve understanding of mechanized operations and be used in Agriculture 4.0. Such features can also streamline and enhance decision making, converting big data into useful information.

Palavras-chave


Statistical process control; Digital agriculture; Quality tools; Quality indicators

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Referências


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