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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.

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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/.

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  • Python 100%
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Contributors

Contact person

IA

Ioannis Athanasiadis

Lead Applicant
Wageningen University & Research
0000-0003-2764-0078Mail Ioannis
IA
Ioannis Athanasiadis
Lead Applicant
Wageningen University & Research
0000-0003-2764-0078
MK
Michiel Kallenberg
Co-Applicant
Wageningen University & Research
0000-0002-4661-6674
RvB
Ron van Bree
AdW
Allard de Wit
Francesco Nattino
Senior Research Software Engineer
Netherlands eScience Center
0000-0003-3286-0139
Yifat Dzigan
Yifat Dzigan
Section Head
Netherlands eScience Center
0000-0002-0935-0088

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