Presentation + Paper
17 October 2023 Insights into entangled variations in the red edge position and red to far-red ratios of soybean leaves
Gladimir V. G. Baranoski
Author Affiliations +
Abstract
Protein-rich soybean crops have a strategic importance for food production worldwide. Initiatives to increase their yield without compromising the environment include the use of remote sensing technologies to monitor their cultivation using spectral data. The red edge position (REP) is among the most used spectrally-derived information in this area. It is strongly correlated to the plants' chlorophyll contents and it can provide a reliable indication of changes in their nutrient status. Besides the availability of nutrients, the plants' photosynthetic capacity is also affected by other abiotic factors, notably light exposure. Variations in the red to far-red (R/FR) ratios of light impinging on soybean leaves are believed to trigger shade-avoidance responses that contribute to their photosynthetic efficiency. To date, the extent of possible connections between variations in the REP and R/FR ratios of soybean leaves remains unclear. In this paper, we address this open question using available measured spectral reflectance and transmittance data obtained for two groups of soybean specimens characterized by distinct chlorophyll contents. More specifically, we examine the impact that their distinct pigmentation levels have on their respective REP and R/FR ratios. The potential ramifications of our findings include not only the enhancement of the procedures employed in the monitoring and management of soybean crops through the combined use of these indices, but also the strengthening of the current knowledge about the intertwined physiological processes responsible for these plants' highly adaptive photosynthetic apparatus.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Gladimir V. G. Baranoski "Insights into entangled variations in the red edge position and red to far-red ratios of soybean leaves", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127270J (17 October 2023); https://doi.org/10.1117/12.2680204
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KEYWORDS
Chlorophyll

Transmittance

Reflection

Crop monitoring

Data transmission

Light absorption

Light wave propagation

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