Identify tobacco plant types using AI

Below is a free classifier to identify tobacco plant types. Just upload your image, and our AI will predict the type of tobacco plant it is - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("tobacco-plant-types", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/tobacco-plant-types/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/tobacco-plant-types/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict the type of tobacco plant it is.

This pretrained image model uses a Nyckel-created dataset and has 49 labels, including Arapaima, Belize, Black, Blonde, Bourbon, Brightleaf, Burley, Burmese, Burundi and Cavendish.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of tobacco plant it is).

Whether you're just curious or building tobacco plant types detection into your application, we hope our classifier proves helpful.

Need to identify tobacco plant types at scale?

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

Agricultural Research: Researchers can utilize the tobacco plant types identifier to study the genetic variation among different tobacco species. By classifying and analyzing these plants, they can uncover insights that lead to the development of disease-resistant or higher-yielding tobacco cultivars.

Supply Chain Optimization: Tobacco producers can implement the classification function to streamline their supply chain processes. By accurately identifying plant types, companies can better match their production practices and inventory management with market demand, reducing waste and improving profitability.

Quality Control: Manufacturers in the tobacco industry can employ this image classification function to enhance quality control measures. By ensuring that the correct plant type is used in production, companies can maintain product consistency and meet regulatory standards.

Market Analysis: Businesses can leverage the tobacco plant types identifier to better understand market trends and consumer preferences. By classifying data from various regions, companies can identify which types of tobacco are gaining popularity and adjust their marketing strategies accordingly.

Pest and Disease Management: Agricultural professionals can use the classification tool to monitor tobacco plantations for signs of disease or pest infestations based on plant type. This targeted approach enables timely intervention and reduces the spread of issues across different tobacco varieties.

Educational Tools: Educational institutions can implement the tobacco plant types identifier in their agricultural programs. This tool can assist students and researchers in learning about the differences between tobacco species and their specific growing conditions, enhancing academic research and practical knowledge.

Sustainability Initiatives: Environmental organizations can utilize the classification function to assess the impact of different tobacco plant types on ecosystems. By identifying and promoting sustainable practices within the tobacco industry, they can help minimize ecological footprints while maintaining viable production.