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dc.contributor.author CRUZ OLIVARES, JULIAN
dc.contributor.author ROMAN GUERRERO, ANGELICA
dc.contributor.author BAEZ GONZALEZ, JUAN GABRIEL
dc.contributor.author LEAL SILVA, ROSALVA
dc.contributor.author BARRERA PICHARDO, JOSE FRANCISCO
dc.contributor.author PEREZ ALONSO, CESAR
dc.date.accessioned 2023-09-19T03:25:39Z
dc.date.available 2023-09-19T03:25:39Z
dc.date.issued 2023-07-31
dc.identifier.issn 2675-5459
dc.identifier.uri http://hdl.handle.net/20.500.11799/138818
dc.description Ensuring the preservation of food while maintaining its quality represents the greatest concern of the human being. It is considered a priority to harnessing the potential and power of the artificial intelligence, particularly artificial neural networks, to optimize drying processes. Its objective is to reduce processing times, manufacture foods with desirable characteristics and functional properties, while minimizing production costs and wastes. Despite the satisfactory advances in the application of artificial intelligence in the food drying process, the forthcoming challenges are not only focused on the improvement of technology itself, but also allow it to continue supporting men in their work activities without jeopardizing their position at work. es
dc.description.abstract Computational tools, including mathematical algorithms, specialized software, and artificial neural networks, along with the advancements in artificial intelligence, have brought significant advancements to industrial processes. Specifically, in food drying processes, such as those employed for grains, fruits, and vegetables, these tools have been demonstrated to play a crucial role in preserving the food itself and its nutritional value. This work highlights how artificial intelligence and computational tools have facilitated the automation of industrial processes (Engineering 4.0). Furthermore, it sheds light on the future potential of the man-machine interface, which is expected to give rise to Industry 5.0. The application of artificial intelligence in drying processes has demonstrated its impact on optimizing this unit operation by reducing process times, improving operating conditions, and predicting final quality characteristics of the products with remarkable accuracy, without requiring extensive experimentation or pilot tests. es
dc.description.sponsorship The authors wish to acknowledge the partial financial support of this research to the Universidad Autónoma del Estado de México through grant 6661/2022SF. es
dc.language.iso eng es
dc.publisher South Florida Journal of Development es
dc.rights openAccess es
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0 es
dc.subject Drying es
dc.subject Preservation of foods es
dc.subject Artificial neural networks es
dc.subject Artificial intelligence es
dc.subject.classification INGENIERÍA Y TECNOLOGÍA es
dc.title Importance of computational tools and artificial intelligence to improve drying processes for food preservation es
dc.type Artículo es
dc.provenance Científica es
dc.road Dorada es
dc.organismo Química es
dc.ambito Nacional es
dc.cve.CenCos 10301 es
dc.relation.vol 4
dc.relation.no 5
dc.relation.doi 10.46932/sfjdv4n5-011


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  • Título
  • Importance of computational tools and artificial intelligence to improve drying processes for food preservation
  • Autor
  • CRUZ OLIVARES, JULIAN
  • ROMAN GUERRERO, ANGELICA
  • BAEZ GONZALEZ, JUAN GABRIEL
  • LEAL SILVA, ROSALVA
  • BARRERA PICHARDO, JOSE FRANCISCO
  • PEREZ ALONSO, CESAR
  • Fecha de publicación
  • 2023-07-31
  • Editor
  • South Florida Journal of Development
  • Tipo de documento
  • Artículo
  • Palabras clave
  • Drying
  • Preservation of foods
  • Artificial neural networks
  • Artificial intelligence
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

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