Detection of protein, starch, oil, and moisture content of corn kernels using one-dimensional convolutional autoencoder and near-infrared spectroscopy

BACKGROUND: Analysis of the nutritional values and chemical composition of grain products plays an essential role in determining the quality of the products. Near-infrared spectroscopy has attracted the attention of researchers in recent years due to its advantages in the analysis process. However,...

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Detalles Bibliográficos
Autores principales: Cataltas, Ozcan, Tutuncu, Kemal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280583/
https://www.ncbi.nlm.nih.gov/pubmed/37346694
http://dx.doi.org/10.7717/peerj-cs.1266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280583/
https://www.ncbi.nlm.nih.gov/pubmed/37346694
http://dx.doi.org/10.7717/peerj-cs.1266

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