Identify if mango is rotten
using AI
Below is a free classifier to identify if mango is rotten. Just upload your image, and our AI will predict if a mango is rotten - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-mango-is-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-mango-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-mango-is-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if a mango is rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Mango Is Good and Mango Is Rotten.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if a mango is rotten).
Whether you're just curious or building if mango is rotten detection into your application, we hope our classifier proves helpful.
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Need to identify if mango is rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Agriculture: Farmers can use the 'if mango is rotten' identifier to assess the quality of their mango harvest in real-time. By quickly identifying rotten fruit, they can minimize crop waste and ensure only the best produce reaches the market.
- Supply Chain Management: Logistic companies can integrate this function into their systems to monitor the condition of mangoes during transportation. By identifying rotten mangoes during transit, they can take timely actions to reduce losses and maintain product quality.
- Retail Inventory Management: Grocery stores and supermarkets can utilize this function to scan their mango stock and identify any rotten items on the shelves. This helps in maintaining freshness in-store, enhancing customer satisfaction while reducing the risk of selling spoiled products.
- Food Waste Reduction Initiatives: Organizations focused on reducing food waste can employ this technology in community food programs. By identifying rotten mangoes, they can divert damaged fruit to composting or animal feed rather than ending up in landfills.
- Research and Development in Agritech: Agricultural researchers can use the identifier to study the causes and conditions that lead to mango spoilage. This data can help in developing better farming practices and mango varieties that are more resistant to rot.
- Consumer App Integration: Mobile applications can integrate this function, allowing consumers to scan mangoes before purchase to determine their freshness. This feature empowers shoppers to make informed decisions and reduces the likelihood of buying spoiled fruit.
- Food Safety Assurance: Restaurants and food services can implement this technology in their kitchen operations to ensure the quality of ingredients. By routinely checking mangoes for rot, they can uphold food safety standards and enhance the overall dining experience.