WUR-AI / WUR-AI/diffWOFOST

how to find valid range of each crop parameter

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scientific
Dominant language
Python
Stars
25
Forks
6
Avg merge
2d 23h
Merged PRs (30d)
1

Description

When we build a crop model using data like this, the model’s parameters get tied to the crop type, and perhaps to the location and weather data. That’s important when we calculate numerical gradients by changing parameters; if the values aren’t realistic, the model can behave in unexpected ways. The (min, max) of crop parameters are defined in Annex 1 in A gentle introduction to WOFOST. But they are not grouped based on crop type.

So the question is: how to find the valid range (or search space) for each parameter for a given dataset?

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the datasets under tests/test_data and the crop-parameter ranges in Annex 1 of A gentle introduction to WOFOST. Determine how crop type, location, and weather data relate to the parameter search space, and identify the project entry points that consume those values. Done should mean a documented or implemented way to obtain valid ranges for a given dataset.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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