Niphad Grape Leaf Disease Dataset (NGLD)
Published: 4 March 2025| Version 4 | DOI: 10.17632/8nnd2ypcv3.4
Contributors:
, , , Description
Dataset has a collection of 2,726 high-quality images of Table Grape leaves categorized into four distinct disease categories. Each category is stored in a separate folder such as, Downey Mildew, Bacterial Rot, Powdery Mildew, and Healthy Leaves. These images are Captured using mobile phones for real-world authenticity. Dataset with 256*256 image dimensions and 96 dpi Ideal for Machine Learning, Plant Pathology, and Agricultural Research. This dataset can be used for training AI models to recognize, classify, and diagnose table grape leaf diseases based on visual symptoms. It can also aid in developing automated plant disease detection systems for precision agriculture.
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Institutions
Symbiosis International University Symbiosis Institute of Technology
Categories
Computer Vision, Machine Learning, Sustainable Agriculture, Plant Pathology, Precision Agriculture, Deep Learning, Agriculture