Identify pine tree species
using AI
Below is a free classifier to identify pine tree species. Just upload your image, and our AI will predict what species of pine tree it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("pine-tree-species", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/pine-tree-species/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/pine-tree-species/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what species of pine tree it is.
This pretrained image model uses a Nyckel-created dataset and has 19 labels, including Bristlecone Pine, Dwarf Pine, Eastern White Pine, Japanese Black Pine, Korean Pine, Lodgepole Pine, Longleaf Pine, Monterey Pine, Mugo Pine and Norway Pine.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what species of pine tree it is).
Whether you're just curious or building pine tree species detection into your application, we hope our classifier proves helpful.
Need to identify pine tree species at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Forest Management: The pine tree species identifier can assist forest managers in tracking and managing different species within a forest. By accurately classifying pine trees, managers can implement targeted conservation strategies and sustainable logging practices.
- Biodiversity Monitoring: Environmental researchers can utilize the pine tree species identifier to monitor biodiversity in specific regions. This tool enables them to gather data on species distribution and health, aiding in the assessment of ecosystem health and changes over time.
- Invasive Species Detection: The identifier can be integrated into ecological studies aimed at detecting invasive pine species. Early identification of these species allows for timely intervention strategies to prevent ecological imbalance and protect native habitats.
- Retail and Gardening: Nurseries and gardening retailers can employ the identifier to ensure they accurately label pine tree species for their customers. This leads to better plant selection, reducing customer confusion and enhancing customer satisfaction.
- Landscaping Services: Landscaping companies can leverage the pine tree species identifier to provide tailored recommendations for tree planting in residential or commercial projects. Knowing specific species helps in making informed choices regarding maintenance needs and environmental compatibility.
- Wildlife Habitat Assessment: Wildlife biologists can use the identifier to assess habitats for specific species that rely on certain pine trees. Understanding the distribution of pine species helps in creating effective management plans for wildlife conservation.
- Educational Tools: The identifier can be developed into an educational app for students and nature enthusiasts interested in learning about pine tree species. By interacting with the app, users can enhance their knowledge of local flora and contribute to citizen science projects.