Carambola Leaf Disease Dataset

Published: 13 November 2024| Version 1 | DOI: 10.17632/jn857kmcnf.1
Contributors:
, Mayen Uddin Mojumdar

Description

This dataset offers 1,274 images of Averrhoa carambola (starfruit) leaves, capturing various conditions to aid machine learning applications in plant health monitoring and disease detection. Collected from agricultural sites in Bangladesh, it includes seven distinct categories representing typical health challenges faced in starfruit cultivation. #Dataset: Algal Leaf Spot: 324 images Insect Pest: 189 images Leaf Curl Virus: 67 images Iron Deficiency: 189 images Fruits: 18 images Old: 158 images Healthy: 329 images #Purpose: Supports development of AI-based tools for plant disease detection Enables early intervention and sustainable farming practices Provides a resource for researchers in agriculture, plant pathology, and AI.

Files

Institutions

Daffodil International University

Categories

Star Fruit

Licence