Potential of using tatistical quality control in agriculture 4.0

• Published in: Ciência 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
• Language: English; 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
• ISSN: 1806-6690; 1806-6690
• DOI: 10.5935/1806-6690.20200105

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.