tomato leaf detection Computer Vision Project
Updated 4 months ago
355
views21
downloadsMetrics
Here are a few use cases for this project:
-
Agricultural Disease Management: Farmers and agriculturists can use this model to early detect and manage tomato leaf diseases, enabling appropriate treatment and minimizing crop loss.
-
Precision Agriculture Tools: The model can be integrated into drones or other precision agriculture AI tools for large-scale tomato farm monitoring, enabling localization and visualization of disease spread.
-
Plant Pathology Research: Researchers and scientists studying plant diseases can use this model to aid in their studies, speeding up disease identification for experimental purposes.
-
Smart Gardening Applications: The model can be added into smart gardening apps to assist home gardeners in monitoring their tomato plants' health, ensuring prompt disease detection and treatment.
-
Education: The model can be used as an educational tool in agricultural learning centers or universities for students studying plant pathology, botany, or agriculture, enabling real-world disease recognition practice.
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{
tomato-leaf-detection-u6mou_dataset,
title = { tomato leaf detection Dataset },
type = { Open Source Dataset },
author = { PIYUSH BAGDE },
howpublished = { \url{ https://universe.roboflow.com/piyush-bagde-vdfeh/tomato-leaf-detection-u6mou } },
url = { https://universe.roboflow.com/piyush-bagde-vdfeh/tomato-leaf-detection-u6mou },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-12-22 },
}