Blockchain Corda-based IoT-Oriented Information-Sharing System for Agricultural Worker Physical Movement Data with Multiple Sensor Unit

Abstract

In this study, we attempted to develop and implement a blockchain Corda-based record sharing system for traditional agricultural (agri-) researchers, workers, and their managers. Corda differs from other domain and practical blockchain techniques (e.g., Bitcoin, Ethereum) with respect to its main aims and structural features. Corda-based network systems can transmit and share basic data concerning ledgers at banks or other financial societies and can be handled on common web browsers (e.g., Google Chrome or Microsoft Internet Explorer). This study consists of three phases: (1) designing and confirming the validity of the entire system, (2) constructing and tuning various minor system settings (e.g., programs or networking specifications), and (3) conducting experiments in indoor settings using hoe acceleration data obtained from previous research projects. The integrated system performed with an acceptable level of accuracy. However, it was extremely difficult to quantitatively present the accuracy data.  We were unable to concretely show the success and error rates for the data transmitting and receiving, nor the examination operation time. We thus present the specific error content.  Overall, the main error trends were (1) errors concerning the rather small transaction time-delay, (2) mistakes concerning the transaction data in the system, and (3) broken transaction data in the system.  In particular, we could determine the transaction time delay according to the JavaScript operations and features by observing. We present experimental ranges for these time delays and other error types. Noting concerns concerning previous trials, we suggest practical applications of the proposed system. In short, we believe that our results are novel achievements in the fusion of agricultural informatics, statistics, and human dynamics. We believe that combining this data and other kinds of timeline data with blockchain-based technology and multiple sensors will improve not only agri-business and management, but also agri-skill and security.