field_crop_20221110 Computer Vision Model
How to use the field_crop_20221110 Detection API
Try This Model
Drop an image here or click to upload
Code Snippets
from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="field_crop_20221110/1")Or, Use Free Cabbage, Radish_2 and Radish-1 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": "cabbage, radish_2, radish-1"
},
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
About field_crop_20221110 Model
Here are a few use cases for this project:
-
Agricultural Crop Classification: This model can be used by farmers and agricultural enterprises for classifying crops in their field. It would aid in determining the types of crops grown in specific fields and helping with crop rotation plans.
-
Precision Agriculture: The model could be used in precision agriculture applications, wherein the type of crop could influence various decisions related to irrigation, fertilization, and pest control.
-
Food Supply Chain Management: The model could be used in supply chain management for grocery stores, restaurants, and food suppliers. By identifying the type of crop, it could help track inventory and plan purchases.
-
Crop Yield Estimation: This model can be used in the prediction of crop yields. By identifying crop types, farming organizations can estimate the yield of particular crop types and make strategic choices about crop distribution and marketing.
-
Education and Research: The model can be used in agriculture-based education and research to help students and scientists identify and study different crop types, their growth conditions, and disease susceptibility.
Please note, the example of the concrete wall image might suggest that this model might also have applications in urban settings to detect crop classes in unconventional surroundings, potentially for identifying urban farming or assessing usage of crops in urban landscaping.
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ field_crop_20221110_dataset,
title = { field_crop_20221110 Dataset },
type = { Open Source Dataset },
author = { sensor },
howpublished = { \url{ https://universe.roboflow.com/sensor-hq923/field_crop_20221110 } },
url = { https://universe.roboflow.com/sensor-hq923/field_crop_20221110 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2026-07-29 },
}