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Plos One : Estimation of Wheat Agronomic Parameters Using New Spectral Indices, Volume 8

By Smet, Ive De

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Book Id: WPLBN0003947973
Format Type: PDF eBook :
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Reproduction Date: 2015

Title: Plos One : Estimation of Wheat Agronomic Parameters Using New Spectral Indices, Volume 8  
Author: Smet, Ive De
Volume: Volume 8
Language: English
Subject: Journals, Science, Medical Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary)
Publication Date:
Publisher: Plos


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Smet, I. D. (n.d.). Plos One : Estimation of Wheat Agronomic Parameters Using New Spectral Indices, Volume 8. Retrieved from

Description : Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the optimized soil-adjusted vegetation index and wheat biomass dry weight (OSAVI6BDW) were used to estimate LAI, N uptake, and total Chl content: secondly, BDW was replaced by spectral indices to establish new spectral indices (OSAVI6OSAVI, OSAVI6SIPI, OSAVI6CIred edge, OSAVI6CIgreen mode and OSAVI6EVI2): finally, we used the new spectral indices for estimating LAI, N uptake, and total Chl content. The results showed that the new spectral indices could be used to accurately estimate LAI, N uptake, and total Chl content. The highest R2 and the lowest RMSEs were 0.711 and 0.78 (OSAVI6EVI2), 0.785 and 3.98 g/m2 (OSAVI6CIred edge) and 0.846 and 0.65 g/m2 (OSAVI6CIred edge) for LAI, nitrogen uptake and total Chl content, respectively. The new spectral indices performed better than the OSAVI alone, and the problems of a lack of sensitivity at earlier growth stages and saturation at later growth stages, which are typically associated with the OSAVI, were improved. The overall results indicated that this new spectral indices provided the best approximation for the estimation of agronomic indices for all growth stages of wheat.


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