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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

Smart Agri Wine: An Artificial Intelligence Approach to Predict Wine Quality

Gaurang S Patkar1 and D. Balaganesh1
  • 1 Lincoln University College, Malaysia

Abstract

Lately the item quality has been one of the critical parts of each and every industry. The customary strategies for surveying the item quality are exceptionally tedious and furthermore not having the ideal outcome with the resultant in unique Technology development. Through the ideas of Artificial Intelligence (AI) and Information Science (IS) it is more productive to evaluate or to foresee any sort of thing effectively. In this study, the investigation of wine information is done on University of California Irvine (UCI) Machine Learning (ML) dataset. The fundamental motivation behind this examination is to foresee wine quality dependent on physicochemical information using AI.

Journal of Computer Science
Volume 17 No. 11, 2021, 1099-1103

DOI: https://doi.org/10.3844/jcssp.2021.1099.1103

Submitted On: 21 June 2021 Published On: 27 November 2021

How to Cite: Patkar, G. S. & Balaganesh, D. (2021). Smart Agri Wine: An Artificial Intelligence Approach to Predict Wine Quality. Journal of Computer Science, 17(11), 1099-1103. https://doi.org/10.3844/jcssp.2021.1099.1103

Open AccessCopyright: © 2021 Gaurang S Patkar and D. Balaganesh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Artificial Intelligence
  • Machine Learning
  • University of California Irvine
  • Information Science