how to find valid range of each crop parameter
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
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.
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?
- Dominant language
- Python
- Stars
- 25
- Forks
- 7
- Avg merge
- 14d 3h
- Merged PRs (30d)
- 1
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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