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.
You can install diffWOFOST using pip:
pip install diffwofostTo 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 jupyterlabThe documentation for diffWOFOST is available at
https://WUR-AI.github.io/diffWOFOST.
The package diffWOFOST is developed in the
DeltaCrop project, a
collaboration between Wageningen University & Research and Netherlands eScience
Center.