apple-cucumber-tomato-grape Computer Vision Dataset
About apple-cucumber-tomato-grape Dataset
Here are a few use cases for this project:
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Crop Disease Identification: This model can be used in agriculture for identifying diseases in apple, tomato, cucumber, and grape crops by analyzing the images of their leaves and fruits. Early detection can help in taking the necessary action to prevent further spreading of the disease.
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Smart Farming Applications: The model could be integrated into a smart farming technology that uses drones or robots to monitor crop health. The system can use the model to provide real-time status of crop health, and detect diseases with speed and accuracy.
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Educational Use: The model could be used in academic research or teaching about plant diseases. Students studying botany, plant pathology, or related fields could use it to learn about the features of different diseases and how they affect each leaf and fruit.
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Garden Monitoring: Home gardeners or owners of small-scale farms could use an app powered by this model to monitor the health of their produce. If the user takes a photo of a plant, the app can utilize the model to analyze the image and provide feedback on the health status of the plant.
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Agricultural Consultancy: Consultants can use this tool to offer expert advice to farmers identifying the disease and suggesting necessary pesticide or treatment for specific diseases, thus assisting in farming management and productivity improvement.
Use Free Apple_healthy, Apple_unhealthy_scab and AppleLeaf_healthy Detection API
Powered by general detection model
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": "Apple_healthy, Apple_unhealthy_scab, AppleLeaf_healthy, AppleLeaf_unhealthy_rot, AppleLeaf_unhealthy_Rusty"
},
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
Tell the agent what you want to build.
Cite This Project
LicenseMITIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ apple-cucumber-tomato-grape_dataset,
title = { apple-cucumber-tomato-grape Dataset },
type = { Open Source Dataset },
author = { Main },
howpublished = { \url{ https://universe.roboflow.com/main-6joil/apple-cucumber-tomato-grape } },
url = { https://universe.roboflow.com/main-6joil/apple-cucumber-tomato-grape },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2026-07-29 },
}