A dataset for successful recognition of cucumber diseases

• DOI: 10.1016/j.dib.2023.109320
• Publication Date: 2023-06-16T07:52:34Z
• Authors: Nusrat Sultana; Sumaita Binte Shorif; Morium Akter; Mohammad Shorif U...
• Keywords: Research article

Plant disease is a common impediment to the productivity of world's agricultural production, which adversely affects quality and yield crops causes heavy economic losses farmers. The cucumber frequently grown creeping vine plant that has few calories but high in water several vital vitamins minerals. Due unfavorable ecological environment non-biological circumstances, diseases will harm cause financial loss. Early identification protection crop are essential for management, enhancement, cost reduction, boosting production. traditional diagnosis often time-consuming, laborious, ineffective, subjective. To cope with this scenario, development machine-based model can detect demand time increasing This article offers major dataset build an effective machine vision-based more variety diseases. includes eight different types classes containing disease-affected disease-free images (Anthracnose, Bacterial Wilt, Belly Rot, Downy Mildew, Pythium Fruit Gummy Stem Blight, Fresh leaves, cucumber) were collected from 6th 30th May 2022 real fields cooperation expert institution. hosted by Department Computer Science Engineering, Jahangirnagar University, freely accessible at https://data.mendeley.com/datasets/y6d3z6f8z9/1.