Potential of using Statistical Quality Control in Agriculture 4.0

Authors

  • Rouverson Silva São Paulo State University
  • Adão Santos Federal University of Lavras
  • Bruno Oliveira São Paulo State University
  • Jarlyson Brunno Souza São Paulo State University
  • Danilo Oliveira São Paulo State University
  • Franciele Carneiro Auburn University

Keywords:

Statistical process control, digital agriculture, quality tools, quality indicators.

Abstract

 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.       

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Published

2021-01-27

Issue

Vol. 51 No. 0 (2020)

Section

Agricultural Engineering

License

Atribuição
CC BY

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How to Cite

SILVA, Rouverson; SANTOS, Adão; OLIVEIRA, Bruno; SOUZA, Jarlyson Brunno; OLIVEIRA, Danilo; CARNEIRO, Franciele. Potential of using Statistical Quality Control in Agriculture 4.0. Revista Ciência Agronômica, [S. l.], v. 51, 2021. Disponível em: https://periodicos.ufc.br/revistacienciaagronomica/article/view/84933. Acesso em: 28 mar. 2026.