Image Datasets for Jackfruit Plant Leaf Disease

The Jackfruit Leaf Disease Dataset features 1,843 images collected from the jackfruit-growing areas of Gouripur and Shahpur in Comilla, Bangladesh. The images are categorized into six classes: five common diseases Anthracnose, Phyllosticta, Algal Leaf Spot, Leaf Spot, and Sooty Mold and one class for healthy leaves. Leaves were handpicked from natural gardens and photographed using two smartphones under varied lighting to ensure diversity. Images were cleaned, resized, and filtered for quality. This dataset can help farmers detect diseases early, apply treatments more precisely, and monitor healthy crops. It supports smarter farming with fewer chemicals and better resource use.菠萝叶病数据集（Jackfruit Leaf Disease Dataset）收录了1843张影像样本，采集自孟加拉国科米拉县戈里布尔与沙布尔两地的菠萝种植区域。该数据集共包含六个类别：五类常见病害——炭疽病（Anthracnose）、叶点霉病（Phyllosticta）、藻斑病（Algal Leaf Spot）、斑点病（Leaf Spot）与煤烟病（Sooty Mold），以及一个健康叶片类别。所有叶片均采自天然种植园，使用两部智能手机在多样化光照条件下拍摄，以保障数据多样性。后续对影像进行了清洗、尺寸调整与质量筛选处理。本数据集可助力农户及早识别病害、精准开展病害防治，并对健康作物进行监测，有助于实现减量化施药与资源优化配置的智慧农业生产模式。