Tomato Leaf Detector Object Detection Dataset and Pre-Trained Model by Research

Images

130 images

Explore Dataset

Here are a few use cases for this project:

Precision Agriculture: Monitor and optimize tomato plant health by detecting leaves accurately, enabling farmers to make better decisions on crop treatment (e.g., targeted pesticide application or watering schedules).
Plant Disease Detection: Combine the "Tomato Leaf Detector" model with other computer vision models for early disease identification, helping farmers to take preventive measures and maintain healthy crops.
Plant Growth Tracking: Utilize the model in greenhouses and research settings to track tomato plant growth, capture and analyze changes in leaf development, and assess the impact of environmental factors on plant progress.
Biodiversity Research: Understand the biodiversity and distribution of tomato plant species by applying the model to large-scale images from various ecosystems, supporting conservation efforts and plant biology research.
Smart Gardening Apps: Integrate the "Tomato Leaf Detector" model with gardening and farming mobile applications, helping hobbyists and professional growers in proper care, cultivation, and maintenance of their tomato plants.

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-detector_dataset,
                            title = { Tomato Leaf Detector Dataset },
                            type = { Open Source Dataset },
                            author = { Research },
                            howpublished = { \url{ https://universe.roboflow.com/research-epxtu/tomato-leaf-detector } },
                            url = { https://universe.roboflow.com/research-epxtu/tomato-leaf-detector },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-29 },
                            }