An Ontological Knowledge Representation for Smart Agriculture

TL;DR

This paper introduces an ontological knowledge representation framework for smart agriculture, enabling effective tracking, monitoring, and reasoning on complex spatio-temporal data to enhance agricultural management.

Contribution

It presents a novel agricultural ontology framework using a lattice-based knowledge graph for improved reasoning on agricultural data.

Findings

Knowledge graph as a lattice captures spatio-temporal data effectively

Enables reasoning and analysis of complex agricultural data

Supports smart farming decision-making processes

Abstract

In order to provide the agricultural industry with the infrastructure it needs to take advantage of advanced technology, such as big data, the cloud, and the internet of things (IoT); smart farming is a management concept that focuses on providing the infrastructure necessary to track, monitor, automate, and analyse operations. To represent the knowledge extracted from the primary data collected is of utmost importance. An agricultural ontology framework for smart agriculture systems is presented in this study. The knowledge graph is represented as a lattice to capture and perform reasoning on spatio-temporal agricultural data.