Add crop simulation environment
Maintainers usually reply within 1 day
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 18/100
Research direction
The issue names no files, tests, or entry points. Start by reviewing the project’s existing environment examples to understand how environments and drone sensors are configured; the request does not identify a specific implementation path. Done would require an agreed scope for an agricultural environment, including which sensors and capabilities it should provide.
Written by the indexing model from the issue text.
Description
Something cool to add to the backlog of this amazing project: Crop simulation for agricultural applications.
Nowadays drones are highly utilized for agricultural purposes, such as:
- Crop Health setection
- Plant growth tracking
- Soil analysis
- Yield estimation
- Pest monitoring
It'd be awesome to have an environment to easily configure this kind of environments, together with a drone with all the features for this kind of application (necessary cameras, sensors, and probably some load representing water or insecticide to spread).
Using the high realism of UE can make this a very nice environment to use for testing computer vision algorithms for agricultural purposes.
Keep up the good work!
Cheers.
- Dominant language
- C++
- Stars
- 890
- Forks
- 170
- Avg merge
- 17h 15m
- Merged PRs (30d)
- 8
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- No 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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