Identify if orange is rotten using AI

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

if orange is rotten identifier

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Get started

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

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

How this classifier works

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

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

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

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

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Need to identify if orange is rotten at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Quality Control in Food Processing: This use case involves integrating the rotten orange identifier into food manufacturing lines. By automating the quality control process, manufacturers can ensure that only fresh oranges are packaged, reducing waste and maintaining brand integrity.

  • Supply Chain Management: Distributors can implement this function in their inventory systems to identify rotten oranges during transit. Early detection helps in managing inventory more effectively and reduces losses incurred from spoiled goods.

  • Retail Freshness Monitoring: Supermarkets can deploy the rotten orange identifier in their produce sections to monitor the freshness of oranges. This technology can alert staff promptly when oranges begin to rot, ensuring that only fresh produce is available for customers.

  • Smart Farming Solutions: Farmers can use the identifier in conjunction with mobile apps to monitor the health of their orange crops. By detecting rotting oranges early, they can implement targeted interventions, thus improving crop yields and minimizing losses.

  • Waste Reduction Programs: Organizations focused on sustainability can utilize the identifier to assess food waste in their operations. By accurately identifying rotten fruits, businesses can take corrective actions to reduce overall food waste and improve environmental impact.

  • Home Inventory Management: Consumers can integrate the rotten orange identifier into smart kitchen systems. This feature can track the freshness of groceries, reminding users when their oranges are starting to spoil and promoting better food management at home.

  • Research and Development: Food scientists and agricultural researchers can use the identifier to study the factors contributing to orange rot. By analyzing data from the classifier, they can develop better preservation techniques and enhance the overall quality of fruit production.

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