Ontology-Based Smart Irrigation System: Enhancing Agricultural Water Management

Ontology-Based Smart Irrigation System

Authors

  • Maher u Nisa Department of computer science, institute of southern Punjab, Multan, Pakistan.
  • Muhammad Azam Department of computer science, institute of southern Punjab, Multan, Pakistan.
  • Tanveer Rafiq Department of computer science, institute of southern Punjab, Multan, Pakistan.
  • Mohsin Sattar Department of Clinical Psychologist, College Counselor, Cadet College Jhang, Pakistan.
  • Aiman zahra Institute of southern Punjab, Multan, Pakistan.
  • Sana Zafar Institute of southern Punjab, Multan, Pakistan.

DOI:

https://doi.org/10.62019/abbdm.v4i1.131

Keywords:

Machine Learning and Deep Learning Models, Classification, Urdu Fake and Real News Tweets, and Fake News Identification

Abstract

An Ontology-Based Smart Irrigation System is presented in this research with the goal of improving agricultural water management. The main issue discussed is the inefficiency of conventional irrigation techniques, which results in water waste and lower crop yields. The process used entails creating an ontology, which includes defining concepts, establishing relationships, identifying domains, and populating the ontology. In order to facilitate real-time monitoring and decision-making, the irrigation system also incorporates sensors, actuators, and data processing algorithms. The main conclusions show that the ontology-based approach boosts crop output, encourages sustainable farming practices, and enhances water consumption efficiency. The findings of this study imply that ontology-based smart irrigation systems present a viable way to deal with the problems associated with water scarcity, improve agricultural output, and reduce their negative effects on the environment. The research adds to the expanding corpus of information on intelligent irrigation systems and emphasizes the significance of implementing cutting-edge technologies for agriculture's sustainable water management.

Author Biography

Mohsin Sattar , Department of Clinical Psychologist, College Counselor, Cadet College Jhang, Pakistan.

Clinical Psychologist
College Counselor, Cadet College Jhang,
Punjab Pakistan

Downloads

Published

2024-03-24

How to Cite

Nisa, M. u, Azam, M., Rafiq , T., Sattar , M., zahra, A., & Zafar , S. (2024). Ontology-Based Smart Irrigation System: Enhancing Agricultural Water Management: Ontology-Based Smart Irrigation System. The Asian Bulletin of Big Data Management, 4(1). https://doi.org/10.62019/abbdm.v4i1.131

Most read articles by the same author(s)