Manalagi Apple Disease Dataset

Purpose :
Classification and identification of Manalagi apple fruit diseases for automated detection in agricultural environments.

Type of data :
Image files (1024 × 1024 pixels)

Data format :
Joint Photographic Expert Group (JPG)

Number of classes :
Four (Healthy, Anthracnose, Black Pox, and Powdery Mildew)

Number of images :
Original Images Folder: 482 images
Augmented Images Folder: 7,230 images

Metadata :
The dataset contains labeled images categorized into four classes of apple fruit conditions. Each image represents real-world conditions captured in orchards, including variations in lighting, background, and disease characteristics. The dataset does not include patient-based metadata but focuses on visual classification of fruit conditions.

Data Acquisition :
Images were captured using digital cameras and smartphones directly from apple orchards owned by local farmers in Indonesia. The data collection process was conducted under natural environmental conditions to ensure real-world variability.

Data Source :

Agricultural sources:
Orchard location: Poncokusumo, Malang, East Java, Indonesia
Source: Local farmer-owned apple orchards

Applications :
Apple disease detection and classification, smart farming systems, precision agriculture, computer vision, deep learning model development, and automated agricultural monitoring systems.