Comparative Morphological and Phytochemical Study for Disease Diagnosis in Rose, Hibiscus, and Marigold Leaves: A Multi-Class Approach".
Description
Tittle: Comparative Morphological and Phytochemical Study for Disease Diagnosis in Rose, Hibiscus, and Marigold Leaves: A Multi-Class Approach". In this dataset, This dataset contains 4,479 labeled images of three plant species: Rose (Rosa), Marigold(Tagetes), and China Rose(Hibiscus Rosa-Sinensis)-sourced from various locations in Bangladesh, including flower garden, agricultural fields, Flower stores, and other sources.Its primary purpose is to facilitate plant disease identification and classification. By enabling early and accurate disease detection, the dataset aims to support advancements in precision agriculture, plant pathology, and environmental sustainability.The distribution of leaf and flower samples is as follows: Classes: Rosa (Rose): Includes healthy and diseased samples. Tagetes (Marigold): Includes healthy and diseased samples. Hibiscus Rosa-Sinensis (China Rose): Includes healthy and diseased samples. Image Resolution: Standardized resolution to [specify resolution if applicable]. File Format: JPEG/PNG [specify format]. Labels: Multi-class labels indicating plant species and health status. Rose(Rosa): Original: 3010 samples ⦁ Healthy Leaves: 1167 samples ⦁ Diseased Leaves: 1613 samples(Total) ⦁ Flower disease : 230 samples Collection Sites: 1,745 samples from Golap Gram, Ashulia, Dhaka, Bangladesh, and 1,265 from Nearest store and Flower Garden,Ashulia,Dhaka, Bangladesh. Marigold(Tagetes): Original: 902 samples ⦁ Healthy Leaves: 273 samples ⦁ Diseased Leaves: 416 samples(Total) ⦁ Flower disease : 213 samples Collection Sites 902 from Nearest store and Flower Garden,Ashulia,Dhaka, Bangladesh China Rose(Hibiscus rosa-sinensis): Original: 567 samples ⦁ Healthy Leaves: 329 samples ⦁ Diseased Leaves: 194 samples(Total) ⦁ Flower disease : 44 samples Collection Sites 902 from Nearest store and Flower Garden,Ashulia,Dhaka, Bangladesh Purpose This dataset's primary purpose is to support research in plant disease identification and classification for three species: Rose (Rosa), Marigold (Tagetes), and China Rose (Hibiscus Rosa-Sinensis). By providing diverse samples collected from flower gardens, agricultural fields, flower stores, and other locations in Bangladesh, it can be used to train models like Convolutional Neural Networks (CNNs) to identify and classify anthracnose based on visual features such as leaf shape and color. This contributes to advancements in precision agriculture, plant health management, and sustainable farming practices.