Bangladeshi Leaf Disease Detection Dataset
Published: 20 November 2024| Version 1 | DOI: 10.17632/462s4m8w8k.1
Contributors:
Sadman Rahman, Jubaier Hasan, Mayen Uddin MojumdarDescription
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.
Files
Institutions
Daffodil International University
Categories
Disease, Leaf Vegetables