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A Dataset of Thermal Infrared (TIR) Images of Vineyards and Pseudo-coloring RGB Images of the Plant’s Stressed Areas.

  • Georgios Fevgas Fevgas (Creator)
  • Thomas Lagkas Lagkas (Creator)
  • Vasileios Argyriou (Creator)
  • Panagiotis Sarigiannidis Sarigiannidis (Creator)

Dataset

Lay Summary

This article describes a dataset of high-resolution visible-spectrum (RGB) and thermal infrared (TIR) images of two vineyards (Vitis vinifera L.) with varieties of Mouhtaro and Merlot, which was captured by Unmanned Aerial Vehicle (UAV) carrying TIR and RGB sensors three times in a cultivation period. The RGB and TIR images are used initially for the vineyards' canopy isolation from the soil and the detection of the leaves' stomatal closure, considering the temperature values differences of the plant's canopy, to generate RGB images with pseudo-coloring of the stressed areas in vineyards' canopy. The dataset contains 1659 raw TIR images and 596 RGB images with pseudo-coloring where plants' stressed areas exist, aligned, and cropped based on the TIR images' Field of View (FOV).
Date made available2023
PublisherIEEE DataPort

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