Niphad Grape Leaf Disease Dataset (NGLD)

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, Downy Mildew, Bacterial Leaf Spot, 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.

本数据集包含2726张高质量鲜食葡萄叶片图像，共划分为四类明确的病害类别。每一类图像均存储于独立文件夹中，分别为：霜霉病（Downy Mildew）、细菌性叶斑病（Bacterial Leaf Spot）、白粉病（Powdery Mildew）以及健康叶片（Healthy Leaves）。所有图像均采用手机拍摄，以确保其具备真实场景下的应用真实性。本数据集的图像分辨率为256×256像素，采样精度为96dpi，非常适用于机器学习、植物病理学及农业研究相关领域。本数据集可用于训练AI模型，使其基于视觉症状识别、分类并诊断鲜食葡萄叶片病害；同时也可助力开发面向精准农业的自动化植物病害检测系统。