Object Detection


Leaf_Diseases_Detection Computer Vision Project

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Here are a few use cases for this project:

  1. Precision Agriculture: Farmers can use the Leaf_Diseases_Detection model to identify diseases affecting their grapevines or potato plants, enabling them to treat specific areas of their crops with targeted pesticides and fungicides, saving time, money, and resources.

  2. Plant Health Monitoring: Researchers, agricultural specialists, or home gardeners can monitor the health of their plants by regularly scanning the leaves with the model to detect early signs of diseases and intervene before the infections spread to other plants.

  3. Smart Greenhouses: Integrating the Leaf_Diseases_Detection model into automated greenhouse systems can optimize the growing environment and minimize the spread of diseases by continuously monitoring plant health status and taking necessary actions, such as adjusting humidity, temperature, or watering schedules.

  4. Plant Disease Education: Institutions offering horticulture and plant pathology courses can leverage the Leaf_Diseases_Detection model to aid students in learning how to diagnose common plant diseases based on visual symptoms, improving hands-on learning experiences.

  5. Agri-tech Innovations: Companies in the agricultural technology sector can integrate the model into their solutions, such as drones or farm management software, to offer value-added services like automatic plant disease detection and alert features to their clients.

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.


This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

                            title = { Leaf_Diseases_Detection Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-cjx38 },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-02-25 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Leaf_Diseases_Detection project in your project.

Last Updated

7 months ago

Project Type

Object Detection




1 Black_rot Esca Grape_Esca Grape_leaf_Blight Healthy Healthy_Grape_Leaf Healthy_Potato_Leaf Potato_Early_Blight Potato_Late_Blight

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