ERWIAM dataset

Annotated image dataset of Fire blight symptoms for object detection in orchards. Monitoring plant diseases in tree nurseries, breeding farms and orchards is essential for maintaining plant health. One of the most dangerous diseases in fruit growing is fire blight (Erwinia amylovora), as it can spread epidemically and cause enormous economic damage. In this context, a digital disease monitoring system for fire blight based on RGB images was developed for orchards. Data was collected on a total of nine dates in 2021, 2022 and 2023 under different weather conditions and with different cameras. The RGB images were taken of different apple genotypes after artificial inoculation with Erwinia amylovora, including varieties, wild species and progeny from breeding. The presented ERWIAM dataset contains manually labelled RGB images with a size of 1280 x 1280 pixels of fire blight infected shoots, flowers and leaves at different stages of development as well as background images without symptoms. In addition, symptoms of other plant diseases were recorded and integrated into the ERWIAM dataset as a separate class. The dataset contains a total of 1,611 annotated images and 87 background images. This dataset can be used as a resource for researchers and developers working on digital plant disease monitoring systems.