StrawberryPlantClassifier Computer Vision Dataset

by[email protected]Task:
Object Detection
License:CC BY 4.0

About StrawberryPlantClassifier Dataset

Here are a few use cases for this project:

  1. Agriculture Monitoring: The StrawberryPlantClassifier could be used to monitor and assess the overall health and growth progress of strawberry plants in a field. By providing insights into the plantation, farmers can take the necessary steps to ensure a healthier crop yield.

  2. Pest Detection and Management: By identifying areas with strawberry plants, the model could help farmers focus their pest control efforts, detecting potential infestations early and preventing them from spreading to other plants.

  3. Automated Harvesting Assistance: The StrawberryPlantClassifier model could be integrated into an automated strawberry harvesting system. By identifying strawberry plants, it would help machines to locate and pick ripe strawberries without damaging the plants or picking unripe fruits.

  4. Efficient Irrigation Planning: By using the StrawberryPlantClassifier to map out plant locations, farmers can design more efficient irrigation systems that provide the precise amount of water needed for growth, reducing water waste and optimizing resource use.

  5. Urban Gardening and Community Projects: The model may also be applied in urban gardening and educational initiatives, helping organizers locate and map strawberry plants within community gardens or monitor the progress of school gardening projects in real-time.

Use Free StrawberryPlants Detection API

Powered by general detection model

Code
pip install inference-sdk
# 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": "StrawberryPlants"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ strawberryplantclassifier_dataset,
  title = { StrawberryPlantClassifier Dataset },
  type = { Open Source Dataset },
  author = { [email protected] },
  howpublished = { \url{ https://universe.roboflow.com/matthew-lutz-3664-gmail-com/strawberryplantclassifier } },
  url = { https://universe.roboflow.com/matthew-lutz-3664-gmail-com/strawberryplantclassifier },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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