Apple Disease Dataset

The dataset used in this study consists of images of apple fruit representing different visual conditions, including healthy fruit and fruit affected by diseases. The data were collected from multiple apple orchards owned by local farmers in major apple production areas. Given the high occurrence of apple fruit diseases in these regions, consultations were conducted with farmers and agricultural experts to identify the most common disease symptoms observed in the field.

The dataset comprises five visual categories, including one healthy fruit class and four major apple fruit disease classes. All images were acquired directly in orchard environments, thereby reflecting real field conditions. Image acquisition was performed across multiple orchard locations under natural lighting conditions.

Images were captured using a combination of digital cameras and smartphone devices with varying camera specifications. Data collection was carried out with the assistance of agricultural experts to ensure the accuracy and reliability of the dataset. This dataset is intended to support computer vision and machine learning research focused on apple fruit disease identification.