Guava Leaf and Fruit Disease

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Authors: Md. Abdul Bakki, Nishat Sultana Raki, Foysal Sheikh, Mosa. Nadia Sultana Pria, Shahnaj Parvin, Md. Mafiul Hasan Matin
Cited by: 0

Abstract

1. The dataset consists of seven different guava classes—Guava Powdery Mildew, Guava Red Rust, Guava Scab Disease, Guava Sooty Mold, Guava White Fly, Healthy Fruit, and Healthy Leaf—designed for developing computer vision–based algorithms. 2. A total of 3,500 guava images were collected from real field conditions. To increase the dataset size and improve model generalization, data augmentation techniques such as shifting, flipping, zooming, shearing, brightness enhancement, and rotation were applied. As a result, 24,500 augmented images were generated from the original dataset.

Fields of Study & Subjects

Smart Agriculture and AI Advanced Neural Network Applications Industrial Vision Systems and Defect Detection

Publication details

Journal / source
Mendeley Data
Publication date
23 February 2026
Language
EN
Document type
Dataset