Potential of using statistical quality control in agriculture 4.0
Autores
Rouverson Silva
Universidade Estadual Paulista
Adão Santos
Universidade Federal de Lavras
Bruno Oliveira
Universidade Estadual Paulista
Jarlyson Brunno Souza
Universidade Estadual Paulista
Danilo Oliveira
Universidade Estadual Paulista
Franciele Carneiro
Auburn University
Palavras-chave:
Statistical process control, Digital agriculture, Quality tools, Quality indicators
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.