A Citrus Fruits and Leaves Dataset for Detection and Classification of Citrus Diseases through Machine Learning

(1) In agriculture, plant diseases are primarily responsible for the reduction in production which causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin C throughout the world. However, ‘Citrus’ diseases badly effect the production and quality of citrus fruits. (2) The computer vision and image processing techniques have been widely used for detection and classification of diseases in plants. (3) The dataset contains an image gallery of healthy and unhealthy citrus fruits and leaves that could be usable for the researchers to prevent plants from diseases using advanced computer vision techniques. The disease targeted in the data sets are the Blackspot, Canker, Scab, Greening, and Melanose. (4) The dataset contains 759 images of healthy and unhealthy images for both Citrus fruits and leaves collectively. Each image contains 256 * 25 dimensions with 72 dpi resolution. (5) All images were acquired from the Sargodha region, a tropical area of Pakistan under the supervision of Dr. Basharat ALi Saleem, Endeavour Executive Fellow Curtin University · Horticulture Research Laboratory Postharvest Australia · Bentley (6) All images were annotated manually by the domain expert Dr. Basharat ALi Saleem to represent their every class such as : For Citrus fruits (Black Spot, Canker, Greening, Scab, and healthy with total number of 150 images ), For Citrus Leaves (Black Spot, Canker, Greening, Melanose, and healthy with total number of 609 image) (6) Further details can be found in the associated publications with the dataset.

(1) 在农业领域，植物病害是导致产量下降并引发经济损失的主要诱因。柑橘作为全球范围内维生素C等营养物质的重要来源，被广泛种植与利用。然而，柑橘病害却严重影响了柑橘果实的产量与品质。
(2) 计算机视觉（Computer Vision）与图像处理（Image Processing）技术已被广泛应用于植物病害的检测与分类任务中。
(3) 本数据集包含健康与染病的柑橘果实及叶片图像库，可供研究人员借助先进计算机视觉技术开展植物病害防控相关研究。数据集覆盖的病害包括黑斑病（Blackspot）、溃疡病（Canker）、疮痂病（Scab）、绿果病（Greening）与黑星病（Melanose）。
(4) 本数据集共包含759张柑橘果实与叶片的健康及染病图像，所有图像尺寸均为256×25像素，分辨率为72dpi。
(5) 所有图像均采集自巴基斯坦热带地区萨戈达（Sargodha）区域，采集工作由科廷大学（Curtin University）奋进执行研究员Basharat ALi Saleem博士于澳大利亚采后园艺研究实验室（Postharvest Australia）本特利（Bentley）校区指导完成。
(6) 所有图像均由领域专家Basharat ALi Saleem博士手动标注，以区分各病害类别：柑橘果实类别包含黑斑病、溃疡病、绿果病、疮痂病及健康样本，共计150张图像；柑橘叶片类别包含黑斑病、溃疡病、绿果病、黑星病及健康样本，共计609张图像。
(6) 如需获取更多细节，可查阅本数据集配套的相关学术出版物。

搜集汇总

背景与挑战

背景概述

该数据集包含759张健康和患病的柑橘果实及叶子图像，用于通过计算机视觉技术检测和分类柑橘疾病，包括黑斑病、溃疡病、疮痂病、黄龙病和黑痣病。所有图像均在巴基斯坦Sargodha地区采集，并由专家手动标注。