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Estimation of cotton productivity depending on early growth stage using image space in pilot area (Al-Kaltta village)

تقدير إنتاجية حقول القطن من مرحلة نمو مبكرة باستخدام الصور الفضائية في منطقة اختبارية (قرية الكالطة)

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 Publication date 2013
and research's language is العربية
 Created by Shamra Editor




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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
Abd-El Gawad, A. A., A. S. Edris, H. K. Zaki and N. T. Ibrahem. 2004a. Estimation of Soybean yield and vegetation amount from canopy reflectance measurements. Arab Univ. J. Agric. Sci. 12 (1): 221-240
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
Babar, M. A., M. P. Reynolds, M. van Ginkel, Klatt A. R., W. R. Raun, and M. L. Stone. 2006. Spectral Reflectance Indices as a Potential Indirect Selection Criteria for Wheat Yield under Irrigation. Crop Sci. 46(2): 578- 588
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