Identify vine species
using AI
Below is a free classifier to identify vine species. Just upload your image, and our AI will predict what species of vine it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("vine-species", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/vine-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/vine-species/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what species of vine it is.
This pretrained image model uses a Nyckel-created dataset and has 31 labels, including Barbera, Black Grape, Brut, Cabernet Sauvignon, Chardonnay, Concord Grape, Gewürztraminer, Green Grape, Grenache and Malbec.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what species of vine it is).
Whether you're just curious or building vine species detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify vine species at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Vine Health Monitoring: This function can be employed by agriculturalists to identify different vine species and monitor their health. By analyzing images of vines, farmers can detect diseases early and address specific issues related to particular species, leading to improved yield and plant vitality.
- Vine Species Cataloging: Botanical researchers and institutions can utilize the identifier to catalog various vine species in biodiversity studies. By quickly classifying and tagging images of vines, researchers can create comprehensive databases that aid in conservation efforts and ecological research.
- Wine Production Optimization: Winemakers can apply the vine species identifier to ensure the correct vine variety is planted for specific terroirs. Understanding which species thrive best in their local conditions can lead to enhanced grape quality and a more efficient production process.
- Landscape Design Consultation: Landscape architects can integrate this identification function to propose vine species suitable for different environmental conditions in landscape designs. By recommending species that fit well within the local ecosystem, they can create more sustainable and thriving environments.
- Education and Awareness Programs: Educational institutions can incorporate the vine species identifier in programs aimed at teaching students about plant diversity. Interactive learning experiences using real images can help foster a deeper understanding and appreciation of plant biology and ecology.
- E-commerce Plant Sales: Online nurseries and plant retailers can use the function to enhance their product descriptions by providing accurate species identification. Customers can make informed purchasing decisions based on visual recognition of vines, leading to higher customer satisfaction and reduced return rates.
- Vine Rehabilitation Projects: Environmental organizations focusing on habitat restoration can leverage the vine species identifier to select and monitor native of non-invasive vine species. This ensures that restoration efforts contribute positively to the ecosystem by promoting biodiversity and preventing the spread of harmful vine species.