Extending ONTAgri with Service-Oriented Architecture towards Precision Farming Application

Muhammad Fahad, Tariq Javid, Hira Beenish, Adnan Ahmed Siddiqui and Ghufran Ahmed
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Muhammad Fahad: Faculty of Engineering Sciences & Technology, Hamdard University, Karachi 74600, Pakistan
Tariq Javid: Faculty of Engineering Sciences & Technology, Hamdard University, Karachi 74600, Pakistan
Hira Beenish: College of Computing and Information Science, Pakistan Air Force, Karachi Institute of Economics and Technology, Karachi 75190, Pakistan
Adnan Ahmed Siddiqui: Faculty of Engineering Sciences & Technology, Hamdard University, Karachi 74600, Pakistan
Ghufran Ahmed: School of Computing, National University of Computer and Engineering Science (FAST-NUCES), Karachi 75030, Pakistan

Sustainability, 2021, vol. 13, issue 17, 1-14

Abstract: The computer science perspective of ontology refers to ontology as a technology, however, with a different perspective in terms of interrogations and concentrations to construct engineering models of reality. Agriculture-centered architectures are among rich sources of knowledge that are developed, preserved, and released for farmers and agro professionals. Many researchers have developed different variants of existing ontology-based information systems. These systems are primarily picked agriculture-related ontological strategies based on activities such as crops, weeds, implantation, irrigation, and planting, to name a few. By considering the limitations on agricultural resources in the ONTAgri scenario, in this paper, an extension of ontology is proposed. The extended ONTAgri is a service-oriented architecture that connects precision farming with both local and global decision-making methods. These decision-making methods are connected with the Internet of Things systems in parallel for the input processing of system ontology. The proposed architecture fulfills the requirements of Agriculture 4.0. The significance of the proposed approach aiming to solve a multitude of agricultural problems being faced by the farmers is successfully demonstrated through SPARQL queries.

Keywords: ontology; service-oriented architecture; knowledgebase; precision agriculture; internet of things; context awareness precision farming; context-aware services; agriculture ontology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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