Identify native vs non-native plants using AI

Below is a free classifier to identify native vs non-native plants. Just upload your image, and our AI will predict if a plant is native or non-native - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("native-vs-non-native-plants", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/native-vs-non-native-plants/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/native-vs-non-native-plants/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if a plant is native or non-native.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Native and Non-Native.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if a plant is native or non-native).

Whether you're just curious or building native vs non-native plants detection into your application, we hope our classifier proves helpful.

Need to identify native vs non-native plants at scale?

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

Environmental Monitoring: The native vs non-native plants identifier can be integrated into environmental monitoring systems to assess biodiversity in various ecosystems. By regularly analyzing plant populations, conservationists can track changes and take action against invasive species that threaten local flora.

Urban Planning: City planners can utilize this classification tool to select appropriate plant species for landscaping projects. By favoring native plants, they can promote local biodiversity, enhance ecosystem services, and reduce water consumption in urban environments.

Agricultural Management: Farmers can employ the identifier to manage weed populations effectively. By distinguishing between native plants and invasive species, they can optimize their land management practices and promote sustainable agriculture while minimizing the impact of non-native competition on crops.

Educational Programs: Schools and educational institutions can incorporate the plant identifier into their botany and ecology curricula. This tool can enhance student learning by providing hands-on experiences in identifying and understanding local plant species, fostering appreciation for native biodiversity.

Wildlife Conservation: Conservation organizations can leverage this technology to support habitat restoration efforts. By identifying native plants, they can focus on restoring ecosystems that enhance habitats for local wildlife, thereby improving overall ecological health.

Landscape Design: Landscape architects can use the identifier to create gardens and parks that feature native plant species. This approach not only beautifies spaces but also creates habitats for local fauna and reduces maintenance costs associated with non-native plants.

Citizen Science Initiatives: Community programs can offer the classification tool to engage citizens in biodiversity monitoring efforts. By empowering individuals to identify and report plant species, communities can collaboratively contribute to conservation data and raise awareness about the importance of native flora.