Prueba3 Object Detection Dataset and Pre-Trained Model by Fase1

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Explore Dataset

Here are a few use cases for this project:

Coffee Plantation Monitoring System: The model can be used in precision agriculture for ensuring effective coffee growing. For example, the detection of specific tree characteristics can assist in determining the exact timing for harvesting.
Quality Control in Coffee Production: This model can help improve quality control by identifying whether the coffee leaves and fruits are healthy or not, thus helping in making the decision about when to harvest or if there are any diseases that need to be addressed.
Crop Health Surveillance Systems: Use the model in a real-time surveillance system for detecting and managing pests and diseases affecting coffee plants. This can help to prevent losses and maintain crop health.
Botanical Research and Education: In agricultural schools or botanical laboratories, the model can be used as a training tool to classify and understand the different states of coffee fruits and leaves.
Sustainability Monitoring: Use the model as part of a sustainability initiative to monitor and assess the impact of different farming techniques on coffee crops. By identifying the condition and maturity of leaves and fruits, farmers can adjust practices to maximize output while minimizing environmental impact.

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{
                            prueba3-55gd5_dataset,
                            title = { Prueba3 Dataset },
                            type = { Open Source Dataset },
                            author = { Fase1 },
                            howpublished = { \url{ https://universe.roboflow.com/fase1/prueba3-55gd5 } },
                            url = { https://universe.roboflow.com/fase1/prueba3-55gd5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-06-21 },
                            }