Rice Leaf Disease detection obj Object Detection Dataset and Pre-Trained Model by Project

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Explore Dataset

Here are a few use cases for this project:

Agriculture Management Systems: This model would allow for early detection of diseases in rice plants, enabling timely intervention to prevent significant yield reduction.
Smart Farming Solutions: Integrated into Internet of Things (IoT) devices to monitor vast fields, the model would automate disease detection and reduce manual effort required by farmers.
Pesticide Application: By identifying specific leaf diseases, the model could assist in determining the most appropriate pesticide to use, thereby reducing overuse and environmental impact.
Agricultural Research: Scientists studying disease impact and prevalence in rice plants could use this model to expediently classify and document different diseases for their research.
Agricultural Drone Monitoring: Drones equipped with this model could gather aerial images of the crops and identify the diseased crops without manual intervention, contributing to quicker and more efficient crop management.

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{
                            rice-leaf-disease-detection-obj_dataset,
                            title = { Rice Leaf Disease detection obj Dataset },
                            type = { Open Source Dataset },
                            author = { Project },
                            howpublished = { \url{ https://universe.roboflow.com/project-khcjh/rice-leaf-disease-detection-obj } },
                            url = { https://universe.roboflow.com/project-khcjh/rice-leaf-disease-detection-obj },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-06-26 },
                            }