diffwofost 0.1.1

Differentiable WOFOST

diffWOFOST

The python package diffWOFOST is a differentiable implementation of WOFOST models using torch, allowing gradients to flow through the simulations for optimization and data assimilation.

The python implementation of WOFOST is available at PCSE. For more information about the models, the functional components of PCSE, and documentation have a look at the following links:

• Models available in PCSE
• The Engine
• PCSE source code
• PCSE example notebooks: examples of optimization and data assimilation are notebooks number 8 and 9.
• WOFOST_crop_parameters: each branch contains the crop parameters for a specific crop model version