作者
Hafiz Tayyab Rauf, Basharat Ali Saleem, M Ikram Ullah Lali, Muhammad Attique Khan, Muhammad Sharif, Syed Ahmad Chan Bukhari
发表日期
2019/10/1
期刊
Data in brief
卷号
26
页码范围
104340
出版商
Elsevier
简介
Plants are as vulnerable by diseases as animals. Citrus is a major plant grown mainly in the tropical areas of the world due to its richness in vitamin C and other important nutrients. The production of the citrus fruit has been widely affected by citrus diseases which ultimately degrades the fruit quality and causes financial loss to the growers. During the past decade, image processing and computer vision methods have been broadly adopted for the detection and classification of plant diseases. Early detection of diseases in citrus plants helps in preventing them to spread in the orchards which minimize the financial loss to the farmers. In this article, an image dataset citrus fruits, leaves, and stem is presented. The dataset holds citrus fruits and leaves images of healthy and infected plants with diseases such as Black spot, Canker, Scab, Greening, and Melanose. Most of the images were captured in December from the …
引用总数
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