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The Influences of Rootstock on the Performance of Pinot Noir (Vitis vinifera L.): Berry and Wine Composition
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 …
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
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 …
experience when administered, which can affect therapeutic outcomes in paediatric patient …
Prediction of Shiraz wine flavour from volatile and odour intensity profiles
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 …
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 …
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 …
prediction: K Nearest Neighbors, Gradient Boosting, and Extreme Gradient Boosting, using a …