Enterprise Resource Planning (ERP) software is extensively used for the management of business processes. ERP offers a system of integrated applications with a shared central database. Storing all business-critical information in a central place raises various issues such as data integrity assurance and a single point of failure, which makes the database vulnerable. This paper investigates database and Blockchain integration, where the Blockchain network works in synchronization with the database system, and offers a mechanism to validate the transactions and ensure data integrity. Limited research exists on Blockchain-based solutions for the single point of failure in ERP. We established in our study that for concurrent access control and monitoring of ERP, private permissioned Blockchain using Proof of Elapsed Time consensus is more suitable. The study also investigated the bottleneck issue of transaction processing rates (TPR) of Blockchain consensus, specifically ERP's TPR. The paper presents system architecture that integrates Blockchain with an ERP system using an application interface.
In today’s world, environment is exposed to lead due to various anthropogenic activities. It adversely affects plants as well as microorganisms by disturbing soil health and fertility. Bioremediation is a technique used to sequester heavy metals from the contaminated soil and it can be used to decontaminate the polluted soil. Lead-tolerant plant health promoting rhizobacteria (PHPR) can be used to enhance the efficacy of lead remediation. Lead uptake can be enhanced through bacteria by modifying root structure, secreting metal sequestering molecules in rhizosphere and alleviating lead induced phytotoxicity. For this purpose, lead-resistant auxin-producing bacteria were isolated from the rhizosphere of some plants. These auxin-producing lead-tolerant bacteria were used to treat Zea mays both in the presence and absence of lead-stress under laboratory conditions and its impact on plant growth and biochemical parameters of Zea mays were analysed.
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