Estimation of cotton productivity depending on early growth stage using image space in pilot area (Al-Kaltta village)
published by Damascus University
in 2013
in
and research's language is
العربية
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Abstract in English
This research aimed to use space image at certain growth stage for
predicting cotton yield in its direct physio-spectral relationship with
productivity. Timely, at the beginning of August better spectral growth stage is
coincidence with a maximum leaf area index of cotton plants at Al-Kaltta fields.
Normalized difference vegetation index (NDVI) showed superiority on each of
red and near infrared channels in relation with productivity. Exponential
model was used to predict cotton productivity depending on NDVI values
during stage that maximum LAI.
References used
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Abd-El Gawad, A.A., A.S. Edris, H. K. Zaki and N. T. Ibrahem. 2004b. Spectral reflectance of Sunflower plants in relation to yield and some canopy characteristics.. Arab Univ. J. Agric. Sci. 12 (1) : 241-258
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