Tomato Leaf Disease Object Detection Dataset and Pre-Trained Model by Universitas Atma Jaya

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Explore Dataset

Here are a few use cases for this project:

Smart Agriculture: Farmers and agronomists can use the Tomato Leaf Disease computer vision model to monitor tomato crops, quickly identify diseases, and take appropriate actions to prevent the spread of infections and improve overall crop health.
Automated Greenhouse Management: Greenhouse operators can integrate the Tomato Leaf Disease model into their environmental control systems for real-time monitoring and management, allowing for early detection and treatment, optimized pesticide usage, and improved overall plant health.
Plant Disease Database and Research: Researchers in plant pathology and agronomy can use the Tomato Leaf Disease model to create a comprehensive disease database, enhancing the understanding of disease patterns, spreading mechanisms, and facilitating the development of new treatment methods or resistant tomato varieties.
Educational Applications: The Tomato Leaf Disease model can be used as a teaching tool for agricultural students, horticulturists, and hobby gardeners to study and learn about tomato plant diseases and their symptoms, improving their skills in diagnosing problems and implementing proper management practices.
Mobile Plant Disease Diagnostic App: Developers can create a user-friendly mobile app that utilizes the Tomato Leaf Disease computer vision model, allowing farmers, gardeners, and enthusiasts to quickly identify tomato leaf diseases on-the-go and receive guidance on potential treatment options.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            tomato-leaf-disease-rxcft_dataset,
                            title = { Tomato Leaf Disease Dataset },
                            type = { Open Source Dataset },
                            author = { Universitas Atma Jaya },
                            howpublished = { \url{ https://universe.roboflow.com/universitas-atma-jaya/tomato-leaf-disease-rxcft } },
                            url = { https://universe.roboflow.com/universitas-atma-jaya/tomato-leaf-disease-rxcft },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }