Secured supply chain management system for fisheries through IoT

Abstract

Digitization is indeed a technique that can have a massive effect at the site of generation or point of capturing inside the food distribution chain. This article proposes three different conceptual models used to analyze the digitalization processes within the fishing industry. The WSN system is used for simulating the related power usage of a large number of sensors with the architectural approach's detector networks. The analytical level uses time analysis to examine information collected via wearable sensors related to marine surveillance. The proposed methodology is demonstrated via a case analysis as in the fishing industry, wherein the WSN principle is assessed depending on the relevance to ocean monitoring buoys fitted with detectors. The characteristics of the snow crab collection are therefore examined in sizable data derived by ocean buoy interpretations utilizing time-series data & scatterplots. The suggested method could be viewed as an instrument that can help with supply chain management and the implementation of more effective procedures in the fisheries industry, which also is undergoing a method of digitalization marked by the adoption of Internet of Things (IoT) answers to monitor authenticity and vendor history, among several other items.