Plant-diseases Computer Vision Project
Updated 2 years ago
1.3k
52
Metrics
Here are a few use cases for this project:
-
Agricultural Health Monitoring: The "Plant-diseases" model can be used by farmers to monitor the health status of their crops in real time. Identifying diseases early can help apply preventative measures promptly, significantly improving crop yield.
-
Digital Farming Apps: This model can be incorporated into agricultural mobile applications to help farmers identify plant diseases by simply taking a picture of their crops. The app can provide instant diagnosis and treatment recommendations.
-
Research and Development: The "Plant-diseases" model can provide valuable data for agricultural researchers studying crop diseases. By using the model, researchers can quickly categorize different types of plant diseases and identify patterns and correlations.
-
Smart Farming Equipment: This model can be integrated into smart farming equipment such as drones or robotics for crop surveillance. Such equipment can scan large areas of field quickly, identifying unhealthy plants and alerting farmers about potential disease outbreaks.
-
Educational Tool: Institutions teaching agriculture or botany-related subjects can use this model as a practical tool for educating students about plant diseases. They can easily show what different types of diseases look like and explain how they affect plants.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
plant-diseases-c2yf6_dataset,
title = { Plant-diseases Dataset },
type = { Open Source Dataset },
author = { CSUEB },
howpublished = { \url{ https://universe.roboflow.com/csueb/plant-diseases-c2yf6 } },
url = { https://universe.roboflow.com/csueb/plant-diseases-c2yf6 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-11-21 },
}