Identify if cranberry is rotten
using AI
Below is a free classifier to identify if cranberry is rotten. Just upload your image, and our AI will predict if the cranberry is rotten - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-cranberry-is-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-cranberry-is-rotten/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/if-cranberry-is-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the cranberry is rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fresh Cranberry and Rotten Cranberry.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the cranberry is rotten).
Whether you're just curious or building if cranberry is rotten detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if cranberry is rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Food Production: This use case involves integrating the 'if cranberry is rotten' identifier into food processing and packaging lines. The system can automatically detect rotten cranberries, allowing workers to swiftly remove defective products and reduce waste, ultimately enhancing product quality and consumer safety.
- Agriculture Monitoring: Farmers can leverage the cranberry rot detection function to monitor crop health throughout the growing season. By regularly scanning cranberry fields, the system helps identify rotten fruits early, enabling timely interventions to protect the harvest and optimize yield.
- Supply Chain Management: In distribution centers, the identifier can be used to assess the quality of cranberries during receiving and before shipment. This ensures only fresh products make it to retailers, reducing returns and enhancing the reputation of supplying firms.
- Retail Quality Assurance: Grocery stores can implement the rot identification function during the receiving process to ensure that only high-quality cranberries are stocked on shelves. This can help maintain customer satisfaction and brand loyalty by consistently offering fresh produce.
- Research and Development: Food scientists and researchers can utilize the cranberry rot identification system to analyze the effects of different storage conditions on fruit spoilage. This data can lead to improved preservation techniques and the development of better storage solutions.
- Consumer Mobile Application: A mobile app could be developed for consumers, allowing them to scan cranberries with their smartphones to check for freshness before purchase. This empowers consumers to make informed decisions and decreases food waste at the household level.
- Sustainability Initiatives: Organizations focused on sustainability can use the rot identification function to monitor waste levels in cranberry production and distribution. By identifying areas of spoilage, these organizations can implement measures to reduce waste, leading to more sustainable agricultural practices.