Malabar Spinach Disease Detection Dataset

Published: 11 November 2024| Version 1 | DOI: 10.17632/sy69db2nz5.1
Contributors:
,
,
, Mayen Uddin Mojumdar

Description

Dataset Purpose: Collection of Malabar spinach (Basella alba) leaf images for advancing disease detection in agriculture. Total Images: 20,173 images Original Images: 3,006 images collected from various cities in Bangladesh (Savar, Dhaka, Sirajganj, Gazipur). Augmented Images: 17,167 images created to increase model robustness by reflecting environmental and imaging variations. Leaf Conditions: Healthy: Images of healthy leaves. Unhealthy: Images categorized into four disease types: Anthracnose Bacterial Spot Downy Mildew Pest Damage Applications: Supports machine learning and computer vision research for automated plant disease detection. Goal: Resource for enhancing crop health and yield management, specifically aimed at agricultural improvements in Bangladesh.

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Institutions

Daffodil International University

Categories

Leaf Studies, Leaf Vegetables

Licence