Plant microbiome (Epiphytic, endophytic and rhizospheric) plays important role in plant growth, development, and soil health. Plant and rhizospheric soil are valuable natural resource harbouring hotspots of microbes, and it plays critical roles in the maintenance of global nutrient balance and ecosystem function. The diverse group of microbes is key components of soil-plant systems, where they are engaged in an intense network of interactions in the rhizosphere/phyllospheric/endophytic. The microbes with plant growth promoting (PGP) attributes have emerged as an important and promising tool for sustainable agriculture. PGP microbes promote plant growth and development directly or indirectly, either by releasing plant growth regulators/phytohormones; solubilization of phosphorus, potassium and zinc; biological nitrogen fixation or by producing siderophore, ammonia, HCN and other secondary metabolites which are antagonistic against pathogenic microbes. The PGP microbes belonged to different phylum of archaea (Euryarchaeota); bacteria (Acidobacteria, Actinobacteria, Bacteroidetes, Deinococcus-Thermus, Firmicutes and Proteobacteria) and fungi (Ascomycota and Basidiomycota), which include different genera namely
The growth of Cloud Computing is the outcome of numerous benefits associated with this technology. Like: Reduce Energy consumption, waste & carbon emission and affluence & Comfort of its working apparatus. At the same point of time its security concern is making vibrations in the research Community and regulating organizations to find the means of making it a secure and reliable stream where consumers’ interests are ensured & protected. More uncertainty arises in this sector, when data theft cases are cracked up and consumers have compromised some confidential details due to intentional or unintentional action of Cloud providers. It leads the need of Trust evaluation of the provider. This trust evaluation should be in the quantitative terms and completed before selection & registration with the provider for cloud services. This paper is using predictive modeling technique to predict the trust level of the provider. Classification, a supervised Machine Learning technique that uses certification attainment status of the provider to predict its trust level.
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