In the evolving landscape of plant growth modeling, there is a distinguished presence of mechanistic models aimed at capturing the intricate dynamics of plant development through parameter estimation from experimental data. However, these models face challenges in ensuring the uniqueness of parameter solutions, a problem addressed by structural and practical identifiability analyses.