Tomato Leaf Disease Computer Vision Project

1

Updated 13 days ago

0

views

0

downloads
Classes (10)
Bacterial Spot
Early Blight
Healthy
Late Blight
Leaf Miner
Leaf Mold
Mosaic Virus
Septoria
Spider Mites
Yellow Leaf Curl Virus
Description

Here are a few use cases for this project:

  1. Agricultural Health Monitoring: Farmers and agricultural researchers can use this model to monitor the health of tomato crop fields. By identifying diseases in real-time, steps can be taken for treatment promptly, improving crop yield.

  2. Smart Gardening Applications: This model could be integrated into gardening apps to aid home gardeners in maintaining the health of their tomato plants. Users can take pictures of their tomato leaves, and the app would diagnose any present diseases.

  3. Pesticide Development: Companies that manufacture pesticides could utilize the model in the development and testing phases. The effectiveness of new products on different diseases could be assessed by applying the product and then using the model to track disease progress.

  4. Agricultural Drones: The model can be used in agricultural drones to assess the health of the plants from the air. The ability to spot diseases from the air would allow for a much faster and broader assessment of crop health.

  5. Educational Tool: The model could serve as an educational tool for plant pathology students and enthusiasts. It could be used to teach about different diseases, their appearances, and their effects on tomato plants.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            tomato-leaf-disease-ssoha-ibezf_dataset,
                            title = { Tomato Leaf Disease Dataset },
                            type = { Open Source Dataset },
                            author = { 1 },
                            howpublished = { \url{ https://universe.roboflow.com/1-yszth/tomato-leaf-disease-ssoha-ibezf } },
                            url = { https://universe.roboflow.com/1-yszth/tomato-leaf-disease-ssoha-ibezf },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-09-21 },
                            }