Identify aerial views of farms
using AI
Below is a free classifier to identify aerial views of farms. Just upload your image, and our AI will predict if the area is farmed or not - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("aerial-views-of-farms", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/aerial-views-of-farms/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/aerial-views-of-farms/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the area is farmed or not.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Cropped Fields and Pasture Land.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the area is farmed or not).
Whether you're just curious or building aerial views of farms detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify aerial views of farms at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Crop Health Monitoring: This function can be used to analyze aerial views of farms to identify the health of crops. By detecting variations in color and density, farmers can receive early warnings of disease, nutrient deficiency, or pest infestations, allowing them to take timely action.
- Yield Estimation: Aerial image classification can help estimate crop yields by assessing plant growth stages and density. Accurate yield forecasts can assist farmers in planning resources and marketing strategies better, leading to improved profitability.
- Irrigation Management: This technology can aid in identifying areas of fields that require more or less water. By analyzing aerial imagery, farmers can optimize irrigation practices, conserve water, and ensure efficient crop growth.
- Land Use Planning: Farmers and agricultural planners can utilize aerial views to assess land usage and optimize crop placement. This function can help in deciding which crops to plant in specific areas based on soil conditions and microclimates.
- Pest and Weed Detection: By consistently monitoring aerial views, farmers can quickly identify the presence of pests or invasive weeds. Early detection can lead to targeted interventions, minimizing the need for broad-spectrum pesticides and improving crop health.
- Farm Management and Planning: Aerial image classification can support strategic farm planning by providing a comprehensive view of farm layout and resource allocation. This insight allows for better decision-making in crop rotation, land division, and resource distribution.
- Environmental Impact Assessment: Utilizing aerial imagery classification assists in evaluating the environmental impacts of farming practices. By understanding how different methods affect soil and crop health, farmers can implement more sustainable practices that reduce their ecological footprint.