Mathematical Modeling to Estimate Photosynthesis: A State of the Art

Photosynthesis is a process that indicates the productivity of crops. The estimation this variable can be achieved through methods based on mathematical models. Mathematical models are usually classified as empirical, mechanistic, and hybrid. To mathematically model photosynthesis, it essential to know: input/output variables their units; modeling used its classification (empirical, or hybrid); existing measurement invasiveness; validation shapes plant species required for experimentation. Until now, collection such information in single reference has not been found literature, so objective manuscript analyze most relevant photosynthesis discuss formulation, complexity, validation, number samples, units variables, invasiveness method. According state art reviewed here, 67% 13% empirical 20% These estimate gross net rate, biomass, carbon assimilation. Therefore, review provides an update research photosynthesis.