Article Versions Notes

Velázquez-de-Lucio BS, Álvarez-Cervantes J, Serna-Díaz MG, Hernández-Domínguez EM, Medina-Marin J. The Implementation of Response Surface Methodology and Artificial Neural Networks to Find the Best Germination Conditions for Lycopersicon esculetum Based on Its Phenological Development in a Greenhouse. Agriculture. 2023; 13(12):2175. https://doi.org/10.3390/agriculture13122175

Velázquez-de-Lucio, Brianda Susana, Jorge Álvarez-Cervantes, María Guadalupe Serna-Díaz, Edna María Hernández-Domínguez, and Joselito Medina-Marin. 2023. "The Implementation of Response Surface Methodology and Artificial Neural Networks to Find the Best Germination Conditions for Lycopersicon esculetum Based on Its Phenological Development in a Greenhouse" Agriculture 13, no. 12: 2175. https://doi.org/10.3390/agriculture13122175

Velázquez-de-Lucio, B. S., Álvarez-Cervantes, J., Serna-Díaz, M. G., Hernández-Domínguez, E. M., & Medina-Marin, J. (2023). The Implementation of Response Surface Methodology and Artificial Neural Networks to Find the Best Germination Conditions for Lycopersicon esculetum Based on Its Phenological Development in a Greenhouse. Agriculture, 13(12), 2175. https://doi.org/10.3390/agriculture13122175