Identify if cherry is rotten
using AI
Below is a free classifier to identify if cherry is rotten. Just upload your image, and our AI will predict if the cherry is rotten - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-cherry-is-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-cherry-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-cherry-is-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the cherry is rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Cherry Is Fresh and Cherry Is Rotten.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the cherry is rotten).
Whether you're just curious or building if cherry is rotten detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if cherry is rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Agriculture: This use case involves deploying cherry rot identification in farms to ensure that only healthy cherries are harvested. By integrating this function with farm management software, farmers can optimize harvest quality and reduce the risk of spoilage during transport.
- Grocery Store Inventory Management: Grocery stores can use the rotten cherry identification tool to assess the quality of their cherry inventory. By regularly scanning their stock, they can reduce waste, ensure better inventory turnover, and maintain customer satisfaction by offering only fresh products.
- E-commerce Pricing Adjustment: Online retailers can implement this identifier to set dynamic pricing based on the condition of cherries being sold. When cherries are identified as rotten, the system can automatically adjust pricing or mark the items as unsellable, enhancing overall inventory management efficiency.
- Food Safety Compliance: Food processing companies can use the rotten cherry identifier to meet food safety regulations by ensuring that their ingredients are fresh. This functionality can help track and remove spoiled produce from production lines, minimizing the risk of contamination in finished products.
- Agricultural Research and Development: Research institutions can utilize this technology to study the factors contributing to cherry rot, aiding in the development of better, more resilient cherry varieties. By efficiently classifying rot conditions, researchers can gather accurate data that informs breeding programs and farming practices.
- Supermarket Supplier Audits: Supermarkets can implement this identifier in their supply chain audits to assess the quality of cherries being delivered by suppliers. By routinely checking for rot, they can establish better supplier relationships and hold them accountable for quality standards.
- Consumer Awareness Applications: Mobile apps could leverage the cherry rot identifier to educate consumers on identifying spoiled fruits before purchase. By providing a tool for users to evaluate cherries in stores or at home, these apps can empower users to make informed decisions, reducing food waste and increasing satisfaction with purchased products.