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.

Installation

You can install diffWOFOST using pip:

pip install diffwofost

To install the package in development mode, you can clone the repository and install it using pip:

pip install -e .[dev]

To work with notebooks, you need to install jupyterlab:

pip install jupyterlab

Documentation

The documentation for diffWOFOST is available at https://WUR-AI.github.io/diffWOFOST.

Acknowledgements

The package diffWOFOST is developed in the DeltaCrop project, a collaboration between Wageningen University & Research and Netherlands eScience Center.