Project-AgML/lettuce_stress_thermal

Lettuce Stress Thermal

This dataset provides synchronized thermal and RGB imagery of lettuce plants under water stress conditions, captured in a controlled laboratory environment. The images were acquired using a FLIR C5 thermal camera during early 2024, delivering multi-spectral ground truth data for agricultural computer vision applications. The dataset contains 104 images, each paired with the following ground-truth measurement(s): sensor1, sensor2.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{fevgas2025integrating,
  title={Integrating thermal infrared and RGB imaging for early detection of water stress in lettuces with comparative analysis of IoT sensors},
  author={Fevgas, Georgios and Lagkas, Thomas and Papadopoulos, Petros and Sarigiannidis, Panagiotis and Argyriou, Vasileios},
  journal={Smart Agricultural Technology},
  volume={11},
  pages={100881},
  year={2025},
  publisher={Elsevier}
}

Fevgas, Georgios; Lagkas, Thomas; Argyriou, Vasileios; Sarigiannidis, Panagiotis (2025), “A Dataset of Thermal Infrared (TIR) and RGB Images of Lettuces, soil moisture data, and Pseudo-coloring RGB Images of the Lettuce’s Stressed Areas”, Mendeley Data, V2, doi: 10.17632/294zk6k5wf.2

This dataset was reformatted from its original format to match HuggingFace standards.