The world population will continue to grow until 2080, driving increased urbanization and a reducing available land for agricultural. In response to this challenge, this thesis explores vertical farming, an innovative method that maximises spaces for plant cultivation and optimises the use of resources. The aim of this thesis is the analysis to estimate the metal content of the lettuce during the various weeks of growth, using a machine learning regression model. The purpose of estimating the concentration of metals present in lettuce is to assess how the plant behaves over time in response to various environmental inputs and promote proper development.