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Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

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healthy nitrogen-n phosphorus-p potasium-k boron-b

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Try Nitrogen-n Detection API

Run on custom image

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# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "nitrogen-n"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:nitrogen-n

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healthy nitrogen-n phosphorus-p potasium-k boron-b

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BACTERIAL LEAF BLIGHT BROWN SPOT DEFICIENCY: MAGNESIUM DEFICIENCY: NITROGEN DEFICIENCY: NITROGEN MANGANESE POTASSIUM MAGNESIUM and ZINC DEFICIENCY: POTASSIUM DISEASE: Narrow Brown Spot NUTRIENT DEFFICIENT: Nitrogen (N), Potassium (K), Calcium (Ca), DISEASE: Bacterial Leaf Blight NUTRIENT DEFFICIENT: Silicon DISEASE: Hispa NUTRIENT DEFFICENCY: N/A ; Integrated pest management practices: DISEASE: Lead Scald NUTRIENT DEFFICIENT: Nitrogen (N), Potassium (K), Calcium (Ca), Sulfur (S)DISEASE: Leaf Smut NUTRIENT DEFFICIENT: N/A Proper field management practices to minimize the spread of the pathogen.HEALTHY HISPA ISEASE: Leaf Blast NUTRIENT DEFFICIENT: Silicon, Nitrogen (N), Potassium (K), Potassium (K), Calcium (Ca)LEAF-SMUT LEAFBLAST

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