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Research Article · Open access · Published 27 November 2021

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

Gaurang S Patkar1 & D. Balaganesh1

Journal of Computer Science, Volume 17, Issue 11, pp. 1099–1103 · doi.org/10.3844/jcssp.2021.1099.1103

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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.

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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

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Smart Agri Wine: An Artificial Intelligence Approach to Predict Wine QualityJournal of Computer Science · Volume 17, Issue 11 · pp. 1099–1103 · CC BY 4.0Download