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technospheramag
technospheramag
ТЕХНОСФЕРА_РИЦ
Issue #4/2024
. N. Baranova, O. V. Shelepova, A. A Zolotukhina, G. V. Nesterov, K. A. Sudarikov, V. V. Latushkin, A. A. Gulevich
Application of Optical Methods to Assess Physiological Damage to Wheat Flag Leaves
Application of Optical Methods to Assess Physiological Damage to Wheat Flag Leaves
DOI: 10.22184/1993-7296.FRos.2024.18.4.320.330
The study explores the possibility of using hyperspectral imaging and RGB photography as a fast and reliable method for determining the chlorophyll content to assess the state of the photosynthetic apparatus. The results of an evaluation of the relationships between the spectral characteristics of the flag leaves reflectivity of wheat, the characteristics of their color and chlorophyll content under conditions of the presence and absence of flooding are presented. It has been revealed that the most accurate assessment of the state of plants can be derived based on the NDVI705 vegetation index obtained by hyperspectral data processing.
Tags: chlorophyll content flag leaf hyperspectral imaging image processing vegetation indices wheat вегетационные индексы гиперспектральная съемка обработка изображений пшеница содержание хлорофиллов флаговый лист
Subscribe to the journal Photonics Russia to read the full article.
The study explores the possibility of using hyperspectral imaging and RGB photography as a fast and reliable method for determining the chlorophyll content to assess the state of the photosynthetic apparatus. The results of an evaluation of the relationships between the spectral characteristics of the flag leaves reflectivity of wheat, the characteristics of their color and chlorophyll content under conditions of the presence and absence of flooding are presented. It has been revealed that the most accurate assessment of the state of plants can be derived based on the NDVI705 vegetation index obtained by hyperspectral data processing.
Tags: chlorophyll content flag leaf hyperspectral imaging image processing vegetation indices wheat вегетационные индексы гиперспектральная съемка обработка изображений пшеница содержание хлорофиллов флаговый лист
Subscribe to the journal Photonics Russia to read the full article.
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