Identify cranberry species
using AI
Below is a free classifier to identify cranberry species. Just upload your image, and our AI will predict what species of cranberry it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("cranberry-species", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/cranberry-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/cranberry-species/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what species of cranberry it is.
This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Vaccinium Angustifolium, Vaccinium Corymbosum, Vaccinium Corymbosum Var. Corymbosum, Vaccinium Corymbosum Var. Rubrum, Vaccinium Erythrocarpum, Vaccinium Gaultherioides, Vaccinium Hirsutum, Vaccinium Macrocarpon, Vaccinium Myrtillus and Vaccinium Myrtillus Var Intermedium.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what species of cranberry it is).
Whether you're just curious or building cranberry species detection into your application, we hope our classifier proves helpful.
Need to identify cranberry species at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Crop Quality Assessment: The cranberry species identifier can be used by agricultural inspectors to assess the quality of cranberry crops before harvest. By accurately classifying the species, inspectors can determine the optimal harvest period and implement targeted marketing strategies for different cranberry varieties.
- Supply Chain Traceability: Food distributors can leverage the cranberry species identifier to ensure the authenticity of cranberry products in their supply chain. By verifying the species, they can prevent fraud, maintain product integrity, and provide transparency to consumers regarding the source of their food.
- Research and Development: Agricultural researchers can use the cranberry species identifier to study genetic variations and breeding patterns among different cranberry species. This data can aid in developing disease-resistant strains and improving crop yields, ultimately benefitting the agricultural sector.
- Culinary Applications: Chefs and food processors can implement the cranberry species identifier to enhance product offerings. By understanding the flavors and uses of different cranberry species, they can create unique dishes or products tailored to specific culinary trends, thus expanding their market reach.
- Climate Change Adaptation: Environmental scientists can utilize the cranberry species identifier to monitor how different cranberry species respond to climate change. This information can guide conservation efforts and inform stakeholders on which species are more resilient or vulnerable to changing environmental conditions.
- Educational Tools: Educational institutions can integrate the cranberry species identifier into their curriculum to teach students about biodiversity and agricultural science. Students can engage in hands-on learning experiences, using real-world data to identify and classify cranberry species in various educational settings.
- Consumer Product Authenticity: Retailers and e-commerce platforms can employ the cranberry species identifier to authenticate products marketed as "organic" or "wild" cranberries. By ensuring that the species match the product claims, they can enhance customer trust and satisfaction, leading to increased sales.