Algorithm for enabling monitoring of plant water deficit by a low-cost thermal IR camera

N. Oz; O. Berman; N. Sochen; D. Mendlovic; I. Klapp

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Algorithm for enabling monitoring of plant water deficit by a low-cost thermal IR camera

In: Precision agriculture '25

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N. Oz

N. Oz

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O. Berman

O. Berman

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N. Sochen

N. Sochen

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D. Mendlovic

D. Mendlovic

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I. Klapp

I. Klapp
iftach@volcani.agri.gov.il

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Type:: Chapter

Pages:: 642–649

DOI:: https://doi.org/10.1163/9789004725232_084

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Dar Hadith al Hassania

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Plant temperature is a key indicator of plant health, particularly for detecting water stress. While radiometric thermal IR cameras can detect such stress early, their high-cost limits widespread agricultural use. Low-cost uncooled thermal cameras offer potential but face challenges, including drift, non-uniformity, low accuracy (approx. ±5°C), and limited spatial resolution. This study addresses these issues by developing end-to-end deep-learning methods for non-uniformity correction and super-resolution. Results of the proposed method demonstrated real-time processing of raw low-cost thermal IR camera data, showing high fidelity, with a small root mean square error of approx. 0.5°C relative to a scientific-graded radiometric camera. The crop water stress index derived from the processed data showed minimal deviation (approx. 1.4–1.9%) from scientific-grade results.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Algorithm for enabling monitoring of plant water deficit by a low-cost thermal IR camera

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Precision agriculture '25

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