Smart Agri Wine: An Artificial Intelligence Approach to Predict Wine Quality
- 1 Lincoln University College, Malaysia
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.
Copyright: © 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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- Artificial Intelligence
- Machine Learning
- University of California Irvine
- Information Science