A literature review on wine production, quality, and machine learning: A report

Abstract

This report is a literature review I have undertaken to survey the literature related to wine production and quality parameters, as a PI in a MBIE funded Pinot Noir research program, as an attempt to understand the intriguing world of wines and wine-making. This was written in rather unusual times, when there is a global pandemic, covid 19, and under various forms of government lockdowns. As there is hardly any serious attempts in AI applications in wine research space, we have reviewed machine learning and deep learning techniques in international agriculture in the later sections. The intention was to understand the extent of applications so that our future work would be an advancement not only in the novelty associated with wine research but also in new innovations that could be possible in future.