Abstract

Spectral reflectance, or indexes that characterize spectral reflectance at concrete wavelength, is commonly used as an indicator of plant stress, or its photosynthetic apparatus status. In this paper, new leaf optical model is presented. Within this paper, experimental determination of surface and internal reflectance of Spring barley leaves and mathematical-physical modelling of internal reflectance were performed. It was proven that a new proposed theoretical model and the experimental spectra of internal reflectance are strongly correlated. It can be concluded that the total reflectance is not a function of epidermis condition, but it testifies about overall functional condition of Spring barley leaves.

Highlights

  • It can be concluded that the total reflectance is not a function of epidermis condition, but it testifies about overall functional condition of Spring barley leaves

  • Leaf optical properties are associated with physiological stress, that affects these plants

  • The study of spectral characteristics has scientific, agricultural, and environmental reasons but it is important from the economical point of view

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Summary

Introduction

Leaf optical properties are associated with physiological stress, that affects these plants. Stress factors can be different: dehydration, freezing, ozone, diseases, herbicides, intraspecies and interspecies competition, insect, lack of mineral nutrition, high salinity, extreme temperatures, and so forth [1,2,3]. Reflectance spectrum changes are similar for different plant species [1]. Because of this fact, spectral reflectance, or indexes that characterize spectral reflectance at concrete wavelengths, is commonly used such as reliable indicators of plant condition and/or their photosynthetic apparatus status. The study of spectral characteristics has scientific, agricultural, and environmental reasons but it is important from the economical point of view. The spectral characteristics are predominantly used for detection and prevention of potential stress factors [3, 4]

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