They have provided a substantial step forward in the area of biophysical modelling with respect to monolithic implementations.

[1][2][3][4] The separation of algorithms from data, the reusability of I/O procedures and integration services, and the isolation of modelling solutions in discrete units has brought a solid advantage in the development of simulation systems.

[7] The goal of this framework is to rapidly bridge from prototypes to operational applications, enabling running and comparing different modelling solutions.

Layers implement no top-down dependency among them, hence facilitating the independent reuse of tools, utilities, and model components in different applications and frameworks.

In the context of the AgriDigit project, carried out at CREA, the BioMA framework has been adapted to execution in the Cloud via a SaaS architecture.

Application and tools are available under the Creative Commons license as binaries, however code can be shared under specific agreements between parties.