Scanning
📱In order to produce quality botanical scans we mainly utilize NeRF/Photogrammetry 3D scanning techniques. To keep things simple we’ll recommend 2 FREE software’s you can access on a phone or basic laptop/PC! However, feel free to use whatever software and capture methods you would like, these are just our beginner recommendations!
Method 1 - NeRFs (Nuclear Resonance Fields)
<aside> ℹ️ We recommend our beginners start using the NeRF capture method as it can produce great results and is slightly easier than photogrammetry. It also allows for some cool post-scan editing that will allow you to easily make a video of your scans!
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<aside> 🌀 LUMA AI - Our recommended NeRF software for this competition!
It is a tool that will allow you to produce your NeRF botanical specimen scans!
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**iOS mobile app users watch below** ⬇️
**3 mins**
As an iOS user you’re able to use the LUMA AI mobile application to guide your capture process and render your 3D model specimen.
Non-iPhone (use *web-tool) watch below* ⬇️
**4 mins**
If you’re not using an iPhone for video capture:
Method 2 - Photogrammetry
If you would prefer to use photogrammetry, for beginners we recommend the free **Polycam** app for iOS/Android smartphones and PC!
Photogrammetry is a great tool, and is how we’ve produced scans on previous expeditions. However it has some challenges when dealing with reflective, organic structures like botanical specimens, and may therefore be a more difficult 3D-tool for beginners!
Learn more ⇒ Photogrammetry
Data Collection
🔬Use a notepad (digital or physical) to collect some basic scientific data on your chosen plant specimen! This will give it scientific context for use in research and education! 🔍
Essentials
This is the key data to collect for your specimen to be considered in the competition:
| Species name
(This can be identified with help from plant recognition apps! We recommend using PictureThis) | The scientific species name is made up of a genus and a specific name (always italicised with the first letter of the genus in capitals). For example, Homo sapiens. | | --- | --- | | Collection date | day/month/year | | Collector | Twitter handle/name | | Country | Country where specimen is. | | Locality | site name (usually the nearest place on the map/description of the location) |
Additional information
If you want to delve deeper into data collection, here is some optional information to look for:
Geolocation | GPS coordinates of the specimen |
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Habitat | The place where a plant lives and the conditions of this environment |
Habit (plant description) | The general external appearance of a plant, including size, shape, texture, smell and orientation |
Associated species | Scientific names of species growing alongside your target specimen |
Uploading
✏️Check out the video below for producing your unique 3D-model video if using the LUMA AI web-app (please reach out to PlantBoi in the Discord if submitting the model via an alternate route).
Then submit the video file to our Paperform as detailed on