Manalagi Apple Disease Dataset

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Authors: FEBRIANTONO, ALDIKI, Girsang, Abba Suganda, Suharjito, Suharjito, Anggreainy, Maria Susan
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Abstract

Purpose Classification and identification of Manalagi apple fruit diseases Type of data Image files. Data format Joint Photographic Experts Group (JPG). Image resolution 1024 × 1024 pixels. Number of classes Four: - Healthy - Anthracnose - Black Pox - Powdery Mildew Dataset structure Raw_Images: 5,100 images Original_Images: 482 images Augmented_Images: 4,718 images Metadata The dataset contains labeled images categorized into four classes of Manalagi apple fruit conditions. The raw image folder contains the original images collected directly from orchards. The processed image folder includes a curated dataset divided into training, validation, and testing subsets, together with augmented training images. Images were captured under natural orchard conditions with variations in illumination, background, viewing angle, and disease severity to represent real-world agricultural environments. Data acquisition Images were collected directly from farmer-owned apple orchards using digital cameras and smartphone cameras under natural environmental conditions. The acquisition process was designed to capture real-world variability in fruit appearance and disease symptoms. Data source Agricultural source Orchard location: Poncokusumo, Malang Regency, East Java, Indonesia Source: Local farmer-owned apple orchards

Publication details

Journal / source
Mendeley Data
Publication date
13 July 2026
Document type
Dataset