Identify if potato is rotten using AI

Below is a free classifier to identify if potato is rotten. Just upload your image, and our AI will predict if the potato is rotten - in just seconds.

if potato is rotten identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-potato-is-rotten", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-potato-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-potato-is-rotten/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict if the potato is rotten.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Potato Is Fresh and Potato Is Rotten.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the potato is rotten).

Whether you're just curious or building if potato is rotten detection into your application, we hope our classifier proves helpful.

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Need to identify if potato 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 automated quality control systems on farms to quickly assess the condition of potatoes during harvesting. By identifying rotten potatoes, farmers can minimize waste and ensure only high-quality produce reaches the market.

  • Food Retail Inspection: Grocery stores can implement this image classification function to routinely check inventory for rotten potatoes. This helps maintain high standards of food quality, reduces customer complaints, and improves overall customer satisfaction.

  • Supply Chain Optimization: Distributors can use this function to evaluate potato batches during transit. By identifying rotten potatoes early, they can take corrective actions, such as adjusting storage conditions or reallocating affected products, thus minimizing losses.

  • Inventory Management: Restaurant and food service organizations can integrate this identifier into their inventory management systems. This allows them to track the freshness of stored potatoes and automatically suggest restocking or disposal, ensuring optimal ingredient quality in dishes.

  • Smart Agriculture Solutions: Integrating this function into mobile farming apps enables farmers to analyze potato fields using smartphone cameras. This empowers them to make timely decisions regarding crop care and harvesting, reducing the risk of producing subpar potatoes.

  • Consumer Apps for Home Use: A consumer-facing mobile application can utilize this image classification technology to help home cooks assess the condition of potatoes before cooking. This empowers users to make informed decisions about food safety and quality, promoting healthier eating habits.

  • Research and Development: Agricultural scientists can employ this function in research settings to study the prevalence of rot in different potato varieties. By analyzing data on rot incidence, researchers can contribute to developing more resistant crops and improving overall agricultural practices.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access