WUR-AI / WUR-AI/diffWOFOST

Expose sharpness in leaf_dynamics as a learnable parameter

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

Description

See #24, #68 and the discussion here.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading issues #24 and #68 and the discussion linked from pull request #69. Then locate the leaf_dynamics implementation and determine how sharpness is currently represented; done means sharpness can be exposed and learned there, with the expected behavior established from those discussions.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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