Measurement of Indicators of Industrial Food Processes Through Artificial Intelligence.
Accurate measurement of food industrial process indicators is critical to ensuring product quality and safety. In this article, we propose the use of artificial intelligence (AI) as an efficient and accurate tool to measure and monitor these indicators. A methodology based on AI techniques is descri...
| Published in: | Journal of Namibian Studies Vol. 34; pp. 4052 - 4060 |
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| Main Authors: | , , , |
| Format: | Article |
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Society of Cultural Studies & Social Sciences
2023 Special Issue
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=172909070&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172909070 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18635954 G5EZ jtl: Journal of Namibian Studies issn: 18635954 maglogo: N pubinfo: dt: 2023 Special Issue vid: 34 pid: 92471 pub: Society of Cultural Studies & Social Sciences artinfo: ui: 172909070 ppf: 4052 ppct: 8 formats: tig: atl: Measurement of Indicators of Industrial Food Processes Through Artificial Intelligence. aug: au: Santiana Espín, Cristian Germán Buenaño Moyano, Luis Fernando Andrade Albán, María José Padilla Padilla, Celin Abad affil: Escuela Superior Politécnica de Chimborazo (ESPOCH) Facultad de Salud Publica, Escuela Superior Politécnica de Chimborazo (ESPOCH) Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, Ecuador su: Manufacturing processes Artificial intelligence Food industry Real-time computing Industrial efficiency Food prices Food preferences sug: subj: Manufacturing processes Artificial intelligence Food industry Real-time computing Industrial efficiency Food prices Food preferences keyword: artificial intelligence food indicators industrial processes measurement ab: Accurate measurement of food industrial process indicators is critical to ensuring product quality and safety. In this article, we propose the use of artificial intelligence (AI) as an efficient and accurate tool to measure and monitor these indicators. A methodology based on AI techniques is described, which includes real-time data processing and predictive model generation. The results obtained demonstrate that AI can significantly improve the measurement of indicators, reduce costs and increase the efficiency of industrial food processes. In conclusion, the implementation of artificial intelligence in the measurement of indicators of industrial food processes offers great advantages and benefits for the food industry. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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