A Smart IoT-Based Semantic Model for Sustainable Dairy Farming Enhancement using Solo Track Algorithm

Abstract

The dairy farming industry is at a crossroads, where traditional practices must evolve to meet the increasing demands for efficiency, sustainability, and animal welfare. The integration of Smart Internet of Things (IoT) technology offers transformative potential, but realizing this potential requires a structured approach to effectively manage and interpret the vast amount of data generated by IoT systems. This dissertation presents a novel semantic framework designed to enhance dairy farming techniques through the intelligent application of Smart IoT technology.

The proposed framework integrates semantic technologies with IoT to create a coherent and adaptive system that improves decision-making and operational efficiency in dairy farming. By leveraging semantic web technologies such as ontologies and knowledge graphs, the framework enables advanced data management, interoperability, and real-time analytics.