Extraction of Tobacco Leaf Temperature in Complex Backgrounds Using UAV-Based Thermal Infrared Remote Sensing

DOI

10.2991/978-94-6463-910-0_2How to use a DOI?

Keywords

Tobacco seedlings; HSV color model; Complex background removal; Canopy contour extraction; Canopy-air temperature difference

Abstract

Combining Unmanned Aerial Vehicles (UAVs) with thermal infrared remote sensing provides a rapid, low-cost, and convenient method for measuring crop canopy temperature, which can be used to infer plant water status. This study utilized UAV remote sensing to capture thermal images of tobacco plants. Through methods such as HSV color model conversion, binarization, mask overlay processing, fine background removal, and canopy contour extraction, we successfully identified and removed the mixed background of soil and mulch, accurately obtaining the canopy temperature of tobacco plants. The results showed that the average canopy temperature was 41.6±1.2℃, which was highly consistent with ground-measured temperatures (R=0.84, RMSE=0.52℃), and the canopy-air temperature difference was 8.6±1.2℃. This method is applicable for extracting canopy temperatures from infrared images of small plants or low-coverage vegetation with diverse and complex backgrounds.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ai Tang
AU  - Zhaojun Yang
AU  - Chun Feng
AU  - Mian Lai
AU  - Anpu Tang
AU  - Hao Yu
AU  - Mingzhan Lv
PY  - 2025
DA  - 2025/12/15
TI  - Extraction of Tobacco Leaf Temperature in Complex Backgrounds Using UAV-Based Thermal Infrared Remote Sensing
BT  - Proceedings of the 2025 2nd International Symposium on Agricultural Engineering and Biology (ISAEB 2025)
PB  - Atlantis Press
SP  - 4
EP  - 12
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-910-0_2
DO  - 10.2991/978-94-6463-910-0_2
ID  - Tang2025
ER  -