Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta

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Authors: Vitālijs Komašilovs, Maksims Fiļipovičs, Olvija Komasilova
Cited by: 0

Abstract

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).

Fields of Study & Subjects

Smart Agriculture and AI Remote Sensing in Agriculture Spectroscopy and Chemometric Analyses

Publication details

Journal / source
DataverseLV
Publication date
30 January 2026
Language
EN
Document type
Dataset