Potential of using tatistical quality control in agriculture 4.0

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 wit...

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Published inCiência agronômica Vol. 51; no. spe
Main Authors Silva, Rouverson Pereira da, Santos, Adão Felipe dos, Oliveira, Bruno Rocca de, Souza, Jarlyson Brunno Costa, Oliveira, Danilo Tedesco de, Carneiro, Franciele Morlin
Format Journal Article
LanguageEnglish
Portuguese
Published Universidade Federal do Ceará 2020
Subjects
AGRONOMY
Digital agriculture
Quality indicators
Quality tools
Statistical process control
Statistical process control
Agricultura digital
Controle Estatístico de Processo
Quality indicators
Indicadores de qualidade
Quality tools
Ferramentas de qualidade
Digital agriculture
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Summary: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.
ISSN:1806-6690
1806-6690
DOI:10.5935/1806-6690.20200105