Get started
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.
8
contributors
Cite this software
Description
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 documentation is available at https://wur-ai.github.io/diffWOFOST/.
License
Not specifiedContributors
Contact person
IA
IA
Ioannis Athanasiadis
MK
Michiel Kallenberg
RvB
Ron van Bree
Wageningen University & Research
AdW
Allard de Wit
Wageningen University & Research
SC
Netherlands eScience Center
Yifat Dzigan
Related projects
DeltaCrop
From Theory to Gradients: Crop Growth Models for the AI era
Updated 12 months ago
In progress