Physiological Simulation of Arabidopsis thaliana for Plant Digital Twin

Abstract

The simulation of physiological plant growth is a foundation toward the development of a digital twin of plants in smart agriculture. The aim of this study is the development and validation of a physiological model capable of accurately simulating the biochemical dynamics of Arabidopsis thaliana under varying photoperiods. The model incorporates a wide range of internal and external parameters, including starch and sucrose dynamics, nitrogen and phosphorus levels, as well as biomass accumulation and assimilation costs. The simulation results were compared with experimental data from the literature and demonstrated a high degree of agreement in the dynamics of key processes during day/night cycles. These findings confirm the model’s potential as a foundation for a plant digital twin, designed to integrate with real-time data.