Identify if peas are rotten
using AI
Below is a free classifier to identify if peas are rotten. Just upload your image, and our AI will predict if the peas are 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-peas-are-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-peas-are-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-peas-are-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the peas are rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fresh Peas and Rotten Peas.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the peas are rotten).
Whether you're just curious or building if peas are rotten detection into your application, we hope our classifier proves helpful.
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Need to identify if peas are rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Food Processing: Implementing the 'if peas are rotten' identifier can help food processing companies automate quality control. This system allows for real-time detection of rotten peas, ensuring only high-quality produce proceeds to packaging, reducing waste and enhancing customer satisfaction.
- Supply Chain Management: Retailers can utilize this image classification function to assess the quality of peas received from suppliers. By identifying rotten peas before they reach the store shelves, they can prevent poor-quality produce from being sold to customers, thus maintaining brand reputation and reducing returns.
- Consumer Apps for Grocery Shopping: Develop a mobile application that enables consumers to scan peas before purchase. Using the 'if peas are rotten' identifier, the app can inform users of any quality issues, enhancing their shopping experience and encouraging smart purchasing decisions.
- Agricultural Field Inspections: Farmers can deploy drones equipped with this image classification technology to monitor pea crops. By identifying rotten peas while they are still in the field, they can implement timely interventions, like targeted pesticide applications, to improve overall yield and quality.
- Automated Sorting Systems: Incorporate the 'if peas are rotten' identifier in automated sorting machinery within warehouses. This technology can streamline the sorting process, quickly separating rotten peas from healthy ones, which boosts efficiency and reduces labor costs.
- Waste Reduction Initiatives: Supermarkets can leverage this technology for initiatives aimed at reducing food waste. By accurately identifying rotten peas, stores can implement discounts or donations on the failing stock before it becomes unsellable, helping to minimize waste and promote sustainability.
- Research and Development: Food science researchers can use this function to study the factors leading to pea spoilage. Analyzing various conditions that lead to rot can enhance understanding of shelf life, thereby informing better storage solutions and developing more resilient pea varieties.