2026-10-14T13:19:59Z https://data.mendeley.com/oai

oai:data.mendeley.com/x26px3xnmy.1 2025-02-03T02:11:03Z

Bendre, Anushka Cauliflower Dataset Mendeley Data The dataset comprises images of cauliflower plants classified based on the various diseases attacking them. The dataset is meant for applications in plant disease classification and prediction methods. It is aimed at helping plant pathologists and farmers to identify the diseases affecting cauliflower at an early stage, thus preventing their occurrence. The dataset comprises of images of cauliflower and leaves which fall into six classes: A. Cauliflower Categories: 1. Alternaria Brassicae 2. Bacterial Soft Rot 3. Bacterial Spot 4. Black Rot 5. Healthy 6. Purple Tinges B. Leaf Categories: 1. Alternaria Leaf Spot 2. Downy Mildew 3. Healthy Images are collected from a variety of sources including publicly available agricultural datasets and field captures. The dataset has been preprocessed and labeled to ensure accurate classification. Agricultural Science Machine Learning Sustainable Agriculture Plant Diseases Cauliflower Tupe, Poonam Dixit, Vaibhavi Kshirsagar, Vaishnavi Dataset doi:10.17632/x26px3xnmy.1 oai:data.mendeley.com/x26px3xnmy.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/x26px3xnmy 2025-02-03T02:11:03Z