Sun Flower Fruits and Leaves dataset for Sunflower Disease Classification through Machine Learning and Deep Learning

(1) The world economy largely depends on vegetable production, whereas The sunflower (Helianthus annuus) is an annual plant with a sizeable daisy-like flower face. Because of the early disease recognition of sunflower, the farmer cannot produce high yield and face economic loss.
(2) In the recent era, image classification and detection is crucial application of Computer Vision.
(3) In this dataset, two types files of Sunflower images are included, namely the original image file and the augmented image file. Three types of diseases, namely downy mildew, leaf scars, and Gray Mold, exist in every file. Besides, the fresh leaves image of a sunflower is also included.
(4) A total of four hundred and sixty-seven images (467) are collected from the sunflower garden contained in the original image file. Then the augmentation operation is performed to boost the images, and a total of one thousand and six hundred sixty-six (1668) images are contained in the augmented image file.
(5) The images of sunflower (disease-affected and disease-free) are assembled from the Bangladesh Agricultural Research Institute (BARI) demonstration farm at Gazipur with the help of domain expects.

(1) 全球经济在很大程度上依赖蔬菜生产，而向日葵（Helianthus annuus）是一种具有大型雏菊状花盘的一年生草本植物。由于未能及早识别向日葵病害，农户将无法实现高产，并面临经济损失。
(2) 近年来，图像分类与检测是计算机视觉（Computer Vision）的核心应用场景。
(3) 本数据集包含两类向日葵图像文件：原始图像文件与增强图像文件。每类文件中均涵盖三种病害类型，即霜霉病（downy mildew）、叶痕病（leaf scars）与灰霉病（Gray Mold），此外还包含健康向日葵叶片图像。
(4) 原始图像文件的图像均采集自孟加拉国农业研究所（Bangladesh Agricultural Research Institute, BARI）位于加济布尔的示范农场的向日葵种植园，共计467张。随后通过图像增强操作扩充数据集，增强图像文件共包含1668张图像。
(5) 本数据集的病害感染与健康向日葵图像，均在领域专家协助下，从孟加拉国农业研究所（BARI）加济布尔示范农场采集汇编而成。