The Implementation of Response Surface Methodology and Artificial Neural Networks to Find the Best Germination Conditions for <i>Lycopersicon esculetum</i> Based on Its Phenological Development in a Greenhouse

The Implementation of Response Surface Methodology and Artificial Neural Networks to Find the Best Germination Conditions for <i>Lycopersicon esculetum</i> Based on Its Phenological Development in a Greenhouse

The incorporation of biodegraded substrates during the germination of horticultural crops has shown favorable responses in different crops; however, most of these studies evaluate their effect only in the first days of seedling life, and do not follow up on the production process under greenhouse or...

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Bibliographic Details
Main Authors: Brianda Susana Velázquez-de-Lucio, Jorge Álvarez-Cervantes, María Guadalupe Serna-Díaz, Edna María Hernández-Domínguez, Joselito Medina-Marin
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Agriculture
Subjects:
biodegraded substrate
peat moss
artificial neural networks (ANN)
response surface methodology (RSM)
organic agriculture
soils
Online Access:https://www.mdpi.com/2077-0472/13/12/2175

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