The Influences of Rootstock on the Performance of Pinot Noir (Vitis vinifera L.): Berry and Wine Composition

Y Chen, Z Liang, M Krstic, P Clingeleffer… - Australian Journal of …, 2024 - Wiley Online Library
Background and Aims. Rootstocks are widely used in the viticulture industry to manage
biotic stress, particularly the infestation of phylloxera, and to improve tolerance to abiotic …

Utilisation of QSPR ODT modelling and odour vector modelling to predict Cannabis sativa odour

K Wise, N Phan, J Selby-Pham, T Simovich, H Gill - Plos one, 2023 - journals.plos.org
Cannabis flower odour is an important aspect of product quality as it impacts the sensory
experience when administered, which can affect therapeutic outcomes in paediatric patient …

Prediction of Shiraz wine flavour from volatile and odour intensity profiles

K Wise, J Luo, K Howell, J Selby-Pham - Journal of Wine Research, 2023 - Taylor & Francis
Wine flavour is a critical driver of customer impression of quality associated with liking the
wine and tendency to repurchase. However, winemaker and expert assessments poorly …

From Vineyard Data to Flavour Profiles: Machine Learning Predicts Wine Quality

A **dal, KS Gill - … 12th International Conference on Internet of …, 2024 - ieeexplore.ieee.org
This paper looks at how well three machine learning models can predict wine quality. The
models being compared are K Nearest Neighbors, Gradient Boosting, and Extreme Gradient …

Predictive Modeling of Wine Quality using Machine Learning Techniques

M Beri, KS Gill, N Sharma - 2024 Second International …, 2024 - ieeexplore.ieee.org
This paper compares the performance of three machine learning models in wine quality
prediction: K Nearest Neighbors, Gradient Boosting, and Extreme Gradient Boosting, using a …