GVLiD: GrapeVine Leaf identification of the Diseases

Published: 15 September 2025| Version 3 | DOI: 10.17632/wkymf8bhcg.3
Contributors:
, Ayush Savalkar, Avishkar Bhasme, Snehal Chavan, Vaishnavi Nikam

Description

Grapes are one of the most important crops in global agriculture, primarily used for wine, fresh fruit, and raisins. Nevertheless, grapevines are prone to various diseases that can significantly impact their yield and quality. Early detection and treatment of these diseases is essential. We introduce the "GVLiD: GrapeVine Leaf identification of the Diseases" which has 4 classes of 3,477 high resolution images of grape leaves; nine diseased classes and one healthy leaves class. The dataset covers the following common grapevine diseases: 1) Healthy 2) Black rot 3) Esca 4) Leaf blight The dimension of the images is 1080 X 1080. Images are in JPG format. Images having 120 DPI collected through a field visit and captured from different angles.

Files

Steps to reproduce

Follow the steps provided in readme.md

Institutions

  • Annasaheb Dange College of Engineering and Technology

Categories

Machine Learning, Plant Diseases, Leaf Studies, Deep Learning, Agriculture

Licence