Leaf Object Detection Dataset and Pre-Trained Model by Leaf Deficiencies

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Explore Dataset

Here are a few use cases for this project:

Smart Agriculture: Farmers can use the "Leaf" computer vision model to monitor crop health and identify nutrient deficiencies in their plants, allowing them to apply appropriate fertilizers or supplements to improve crop yield and productivity.
Plant Diagnostic Apps: Integrate the "Leaf" model into mobile applications to assist gardeners, plant enthusiasts, and agricultural professionals in detecting and understanding nutrient deficiencies in their plants by analyzing leaf images captured with smartphones.
Environmental Monitoring: Ecologists and environmentalists can utilize the "Leaf" model to study plant health in different ecosystems and track nutrient deficiencies caused by changes in soil quality or pollution, facilitating better decision-making in ecosystem conservation.
Precision Agriculture Automation: Integrate the "Leaf" model with drones or robotic systems to automate the process of plant health monitoring, detecting nutrient deficiencies, and applying necessary treatments in large-scale farming operations, ultimately increasing efficiency and reducing human labor costs.
Educational Tools: The "Leaf" model can serve as a valuable resource for teaching students and researchers about plant biology, nutrition and the importance of proper nutrient management in agriculture, by providing accurate identification and information on various deficiency classes.

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{
                            leaf-gympw_dataset,
                            title = { Leaf Dataset },
                            type = { Open Source Dataset },
                            author = { Leaf Deficiencies },
                            howpublished = { \url{ https://universe.roboflow.com/leaf-deficiencies-kduf9/leaf-gympw } },
                            url = { https://universe.roboflow.com/leaf-deficiencies-kduf9/leaf-gympw },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-11 },
                            }