Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database
Abstract In predictive microbiology, statistical models are employed to predict bacterial population behavior in food using environmental factors such as temperature, pH, and water activity. As the amount and complexity of data increase, handling all data with high-dimensional variables becomes a di...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
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Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/951e9c94e01a47e497f7e7e4b438d616 |
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