Identify if peach is rotten using AI

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

if peach is rotten identifier

API Access


import nyckel

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

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

How this classifier works

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

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

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

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

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Need to identify if peach 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 using the "if peach is rotten" identifier to enhance quality control processes in peach orchards. Farmers can quickly assess the condition of their harvest in real-time, ensuring that only high-quality fruits are picked and reducing waste.

  • Retail Inventory Management: Retailers can employ the identification function to monitor the freshness of peaches on their shelves. By automatically detecting rotten fruit, stores can optimize their inventory management and decrease losses due to spoilage.

  • Food Processing Automation: In food processing facilities, the rotten peach identifier can be integrated into sorting systems to enhance efficiency. This allows for quicker removal of spoiled fruits before they enter production, ensuring that only high-quality ingredients are used in various products.

  • Supply Chain Optimization: The identifier can be used throughout the supply chain, from orchards to distribution centers, to monitor peach quality at every stage. This data-driven approach enables better decision-making regarding storage, transportation, and distribution, ultimately reducing spoilage and increasing profits.

  • Consumer App Development: A mobile application could be developed for consumers to scan peaches and receive immediate feedback on their condition. This empowers shoppers to make informed purchasing decisions and helps reduce food waste at the consumer level.

  • Research and Development in Horticulture: Researchers can utilize the rotten peach identifier to study the effects of different growing conditions on fruit quality. This can lead to the development of better agricultural practices and varieties that are less susceptible to spoilage.

  • Automated Marketplace Integration: Platforms that connect farmers and consumers can integrate the identifier for real-time quality assessments. This ensures that buyers receive fresh peaches, promoting transparency and trust in transactions while reducing consumer disappointment due to receiving spoiled products.

Want this classifier for your business?

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

Get Access