Bangladeshi Leaf Disease Detection Dataset

This Dataset focuses on Leaf Disease Detection to identify and classify diseases affecting plant leaves. The goal is to develop a method for early detection, improving agricultural practices, reducing pesticide use, and increasing crop yields. The study includes four plant species: ● Beans (2032) ● Corn ( 706) ● Red Amaranth (401) Location: Leaf images, both healthy and diseased, were collected from different sources Located in Bangladesh. Dataset Amount: 1.Original Data: 3139 The dataset consists of visual images aimed at training models for disease detection and classification.本数据集专注于叶片疾病检测，旨在识别和分类影响植物叶片的疾病。其目标在于开发早期检测方法，优化农业生产实践，降低农药使用量，并提升作物产量。研究涵盖了四种植物种类：豆类（2032种）、玉米（706种）、红花苋菜（401种）。叶片图像，包括健康与患病图像，均来自不同来源，并位于孟加拉国。数据集包含以下内容： 1. 原始数据：3139 该数据集由旨在训练疾病检测和分类模型的视觉图像组成。