Citations refer to the original publication, not to a Scieee localized version.
García Pérez, P., Lozano Milo, E., Landín Pérez, M., & Gallego, P. P. (2020). Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds. MDPI. https://doi.org/10.3390/antiox9030210
García Pérez, Pascual, et al. Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds. MDPI, 2020. https://doi.org/10.3390/antiox9030210.
García Pérez, Pascual, Eva Lozano Milo, Mariana Landín Pérez, and Pedro Pablo Gallego. Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds. MDPI, 2020. https://doi.org/10.3390/antiox9030210.
García Pérez, P. et al. (2020) Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds. MDPI. Available at: https://doi.org/10.3390/antiox9030210.
P. García Pérez, E. Lozano Milo, M. Landín Pérez, and P. P. Gallego, “Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds,” MDPI, 2020, doi: 10.3390/antiox9030210.
@misc{garciaperez2020combining,
author = {García Pérez, Pascual and Lozano Milo, Eva and Landín Pérez, Mariana and Gallego, Pedro Pablo},
title = {Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds},
year = {2020},
publisher = {MDPI},
doi = {10.3390/antiox9030210},
url = {https://doi.org/10.3390/antiox9030210}
}
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