Vol. 39, issue 04, article # 3
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Abstract:
Plant protection measures against various pathogens must be implemented in a specific period of time to avoid potential economic losses. Objective and reliable automated plant health diagnostics requires new approaches and their integration into traditional monitoring and assessment systems. This paper describes an experimental setup that detects elevated levels of plant stress hormones in air due to mechanical damage from direct atmospheric absorption of radiation based on Fourier transform infrared spectroscopy. The results of this study, on the one hand, open the possibility of detecting plant stress by analyzing the atmospheric absorption spectrum above a plantation, and on the other hand, they identify a wide range of fundamental problems, the solution of which will lead to the development of an effective method for remote diagnostics of plant health.
Keywords:
Fourier spectroscopy, absorption spectrum, regression analysis, plant disease incidence, stress
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