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  1. New Plant Diseases Dataset | Kaggle

    Image dataset containing different healthy and unhealthy crop leaves.

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  2. Plant Disease Detection Dataset (Kaggle) - GitHub

    The dataset has been sourced from Kaggle, and this repository includes a Jupyter Notebook to streamline the workflow for training, evaluating, and visualizing plant disease detection models.

  3. New Plant Diseases Dataset: 87K Images for ML & Research

    Use as a benchmark dataset for academic research in agriculture and technology. This dataset is sourced from Kaggle. Explore 87,000+ RGB images of crop health and diseases across 38 …

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  4. New Plant Diseases Dataset | Kaggle

    Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

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  5. new_plant_diseases | Kaggle

    Explore and run machine learning code with Kaggle Notebooks | Using data from New Plant Diseases Dataset

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  6. Plant-disease-dataset - Kaggle

    This dataset consists of about 87K rgb images of healthy and diseased crop leaves which is categorized into 38 different classes.

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  7. Asfand038/Plant-Disease-Detection - GitHub

    This project uses MobileNet and transfer learning to detect plant diseases across 38 different classes. The dataset comes from Kaggle's New Plant Diseases Dataset and is organized into …

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  8. Find Open Datasets and Machine Learning Projects | Kaggle

    Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.

  9. Plant leave disease dataset https://www.kaggle.com/datasets

    Nov 22, 2024 · Plant leave disease dataset https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset/data.

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  10. DarshanKanani05/plant-disease-classification - GitHub

    This project builds a deep learning model to classify plant leaf images into multiple disease categories. Early detection of plant diseases is crucial for improving crop yield and preventing …

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