Identify leaf arrangement
using AI
Below is a free classifier to identify leaf arrangement. Just upload your image, and our AI will predict what type of leaf arrangement it has - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("leaf-arrangement", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/leaf-arrangement/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/leaf-arrangement/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of leaf arrangement it has.
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Alternate, Alternate Opposite, Axillary, Basal, Clustered, Decussate, Enantiostyly, Fasciculate, Multiple and Opposite.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of leaf arrangement it has).
Whether you're just curious or building leaf arrangement detection into your application, we hope our classifier proves helpful.
Need to identify leaf arrangement at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Agricultural Research: Researchers can utilize the leaf arrangement identifier to classify various plant species, aiding in the understanding of plant evolution and diversity. By accurately categorizing leaves, scientists can study how different arrangements influence photosynthesis and water conservation in various environments.
- Eco-Friendly Landscaping: Landscapers can leverage the leaf arrangement identifier to select plant species that optimize aesthetic appeals with suitable growth patterns. This functionality allows them to create visually pleasing yet environmentally sustainable gardens that align with local biodiversity.
- Precision Farming: Farmers can apply the leaf arrangement identifier to monitor crop health and optimize growth conditions by identifying stress signals early. Understanding leaf arrangement can assist in determining the best time for irrigation or fertilization to enhance yield and reduce waste.
- Plant Disease Diagnosis: The technology can be integrated into diagnostic tools that identify leaf arrangement anomalies resulting from diseases or pests. Quick detection of such irregularities can help farmers take timely action to mitigate crop loss.
- Biodiversity Conservation: Conservation organizations can use the leaf arrangement identifier to catalog and monitor plant species in various ecosystems. This data assists in biodiversity assessments and helps inform conservation strategies aimed at preserving native plant species.
- Botanical Education: Educational institutions can implement the leaf arrangement identifier in interactive learning modules for students studying botany. By engaging with this technology, students can better understand plant morphology and adaptive strategies in diverse ecosystems.
- Environmental Monitoring: Government agencies and environmental organizations can use the leaf arrangement identifier to assess habitat health and monitor changes in vegetation structure over time. Analyzing leaf arrangements can provide insights into ecosystem responses to climate change and human impacts.