Identify if tangerine is rotten
using AI
Below is a free classifier to identify if tangerine is rotten. Just upload your image, and our AI will predict if the tangerine is rotten - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-tangerine-is-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-tangerine-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-tangerine-is-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the tangerine is rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Tangerine Is Fresh and Tangerine Is Rotten.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the tangerine is rotten).
Whether you're just curious or building if tangerine is rotten detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if tangerine is rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Agriculture: This function can be integrated into the quality control processes of tangerine farms. By automatically identifying rotten fruits, farmers can efficiently sort and remove spoiled produce before it reaches the market, ensuring only high-quality tangerines are sold.
- Supply Chain Optimization: Food distributors can use this classification to monitor the condition of tangerines during transportation. By identifying rotten fruit early, they can adjust their logistics and reduce losses, ultimately improving supply chain efficiency.
- Retail Management: Grocery stores can deploy this technology in their produce departments. It can assist staff in identifying and removing rotten tangerines from shelves in real-time, thus enhancing customer satisfaction through better product quality.
- Consumer App Feature: A mobile app for consumers can utilize this function, allowing users to scan their tangerines to check for freshness before consumption. This can help educate consumers on food quality and reduce waste through better purchase decisions.
- Food Waste Reduction Programs: Non-profit organizations focused on reducing food waste can utilize this technology in their operations. By identifying rotten tangerines in bulk donations, they can ensure that only fresh produce is distributed to food banks and community programs.
- Research and Development in Horticulture: Researchers can employ this function in experimental settings to study the shelf life and decay patterns of tangerines. The data collected can lead to improved agricultural practices and varietal development to enhance fruit longevity.
- Automated Sorting Machines: Manufacturing companies can integrate this function into automated fruit sorting machines. This technology can streamline the sorting process in packing facilities, reducing labor costs and improving accuracy in identifying quality fruit.