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Titlebook: Soil Enzymes; Influence of Sugar I Naga Raju Maddela,Narasimha Golla,Rangaswamy Venga Book 2017 Springer International Publishing Switzerla

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constructed in the domain augmentation to learn robust context-aware representations for the segmentation task. Experimental results on five datasets of three modalities demonstrate the effectiveness of the proposed algorithm. FreeSDG outperforms state-of-the-art methods and significantly improves
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Soil Collection,f the soil. The most accurate approach is multiple and individual analysis (MIA), which means taking many samples within a given site and performing a separate analysis of each sample. Another approach is composite analysis. An advantages of this approach is reducing time and effort by combining the
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Soil Protease,tivity was observed in soils treated with herbicides (Pahwa and Bajaj 1999), insecticides (Omar and Abd-Alla 2000), organic matter (Ladd and Butler 1969), crude oils (Walker et al. 1975), and chlorothalonil (Singh et al. 2002).
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Soil Amylase,Linkins 1987). Amylase activity was significantly correlated with fungal and bacterial populations and moisture content of litter (Joshi et al. 1993). Changes in amylase activity during litter decomposition were attributed to changes in microbial populations (Ross and Roberts 1973). Increased amylas
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Soil Invertase,Invertase catalyzes the hydrolysis of sucrose to glucose and fructose due to β-fructofuranosides, predominantly available in microorganisms, animals, and plants (Kiss and Peterfi 1959; Skujins 1976; Alef and Nannipieri 1995). Invertase brings out all hydrolysis of sucrose under either acidic or alkaline conditions (Splading 1979).
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Soil Enzymes978-3-319-42655-6Series ISSN 2191-5547 Series E-ISSN 2191-5555
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