Dataset of the hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta is preapred and uploaded to the Dataverse.lv. The dataset consists of hyperspectral images (HS) and associated data of tomato leaves captured during a disease development study. Number of trials took place in an experimental greenhouse where tomatoes of cultivar Encore were inoculated with Alternaria protenta pathogens, and the development of the disease on leaves was captured on a regular basis using an HS camera over the course of several weeks. Additional data were obtained via basic image preprocessing and feature extraction procedures. The dataset is suitable for in-depth disease development studies based both on statistical approaches (e.g. spectral index calculations) as well as deep learning models (e.g., semantic segmentation).
Data is publicly avaialble: https://dv.dataverse.lv/dataset.xhtml?persistentId=doi:10.71782/DATA/MODVMZ