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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2023
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| 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 |