Optimization of monitoring network system for Eco safety on Internet of Things platform and environmental food supply chain

Food supply chain and Eco system security in developing nations depend to a limited extent on the practical utilization of common natural resources. Food and Eco system security is generally inspected through three measurement approaches, in particular the accessibility of ecosystem, access to supply chain and use of the food chain. In this research a complex and interlocked network of food supply with various food material and products has been evaluated and it has been monitored for food supply networks to cover food materials and to safeguard the ecosystem. In this paper an advanced intelligent internet of things (IoT) based Optimal Communal Network mathematical modeling system (OCNMM) has been established to displace manual importance and verification in food supply chain system. Moreover, we intend to utilize the smart IoT technology to help the system engineers to discover issues and procedure for the timely solutions. The experimental and numerical analysis shows that OCNMM has prominent outcomes than manual intervention approaches which has been used in practice. The performance factors such as accuracy, precision, recall, F-Score, Stability, Specificity and Sensitivity has been numerically analyzed in this research for validation of the proposed model using NordVal validation.