Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks

Hydrological drought forecasting plays a substantial role in water resources management.Hydrological drought highly affects the water allocation and hydropower generation.In this research, short term hydrological drought forecasted based on the Equipment hybridized of novel nature-inspired optimization algorithms and Artificial Neural Networks (ANN

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Dynamics of the Fermentation Products, Residual Non-structural Carbohydrates, and Bacterial Communities of Wilted and Non-wilted Alfalfa Silage With and Without Lactobacillus plantarum Inoculation

The aim of this study was to investigate effects of wilting and Lactobacillus plantarum inoculation on the dynamics of the fermentation products, residual non-structural carbohydrates, and bacterial communities in alfalfa silage.Fresh and wilted alfalfa were ensiled with and without L.plantarum for 10, 30, 60, and 90 days.A high-throughput sequenci

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