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Nano Silicon Modulates Chemical Composition and Antioxidant Capacities of Ajowan (Trachyspermum ammi) Under Water Deficit Condition
Nano Silicon Modulates Chemical Composition and Antioxidant Capacities of Ajowan (Trachyspermum ammi) Under Water Deficit Condition
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
An investigation into the impact of cobalt replacement by silicon in FeCrMnNiCo non-stoichiometric high entropy alloys
An investigation into the impact of cobalt replacement by silicon in FeCrMnNiCo non-stoichiometric high entropy alloys
Advances in Nanoparticle and Carbon Nanotube-Enhanced Electrospun Fibers for Tissue Engineering Applications
Interactive effects of wood biochar application and Thymus species on soil physical quality in irrigated farming
Interactive effects of wood biochar application and Thymus species on soil physical quality in irrigated farming
Interactive effects of wood biochar application and Thymus species on soil physical quality in irrigated farming
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches