[HTML][HTML] Climate change effects and adaptation strategies in the wine sector: a quantitative literature review
S Sacchelli, S Fabbrizzi, S Menghini - Wine Economics and Policy, 2016 - Elsevier
This paper presents a quantitative literature review focusing on how scientific research
analysed climate change impact on wine chain as well as potential adaptation strategies …
analysed climate change impact on wine chain as well as potential adaptation strategies …
[PDF][PDF] Sensor data acquisition for climate change modelling
S Shanmuganthan, A Ghobakhlou… - WSEAS Transactions on …, 2008 - academia.edu
This paper describes recent advances in sensor technology and wireless radio frequency
(telemetry architecture) with the capability for measuring changes in weather and …
(telemetry architecture) with the capability for measuring changes in weather and …
Frost prediction characteristics and classification using computational neural networks
The effect of frost on the successful growth and quality of crops is well understood by
growers as leading potentially to total harvest failure. Studying the frost phenomenon …
growers as leading potentially to total harvest failure. Studying the frost phenomenon …
Climate change, wine and sustainability: a quantitative discourse analysis of the international scientific literature
S Sacchelli, S Fabbrizzi, S Menghini - Agriculture and Agricultural Science …, 2016 - Elsevier
The paper analyses the evolution and potential future trend of research debate related to
climate change impacts on the wine chain. A particular emphasis was given to the …
climate change impacts on the wine chain. A particular emphasis was given to the …
Data Mining Techniques for Modelling the Influence of Daily Extreme Weather Conditions on Grapevine, Wine Quality and Perennial Crop Yield
S Shanmuganathan, P Sallis… - 2010 2nd International …, 2010 - ieeexplore.ieee.org
The influences of daily weather extremes, such as maximum/minimum temperatures,
humidity, and precipitation, are observable in perennial crop phenology that in turn …
humidity, and precipitation, are observable in perennial crop phenology that in turn …
A comprehensive review of learning rules and architecture of perceptron in artificial neural networks (ANNs)
S Shanthini, MS Devi, RS Grace - Deep Learning in Engineering …, 2024 - taylorfrancis.com
The complicated neural networks of the human mind have acted as a significant model for
creating artificial neural networks (ANNs) of computational intelligence. ANNs can recognize …
creating artificial neural networks (ANNs) of computational intelligence. ANNs can recognize …
Modelling climate change effects on wine quality based on expert opinions expressed in free-text format: The WEBSOM Approach
S Shanmuganathan, P Sallis - International Conference on Neural …, 2008 - Springer
The motivation for modelling the effects of climate change on viticulture and wine quality
using both quantitative and qualitative data within an integrated analytical framework is …
using both quantitative and qualitative data within an integrated analytical framework is …
[PDF][PDF] Sensors for modeling the effects of climate change on grapevine growth and wine quality
S Shanmuganthan, A Ghobakhlou… - … and Computers in …, 2008 - academia.edu
This paper describes recent advances in sensor technology and wireless radio frequency
(telemetry architecture) with the capability for measuring climate change with weather and …
(telemetry architecture) with the capability for measuring climate change with weather and …
Wine tasting and a novel approach to cluster analysis
W Claster, S Shanmuganathan… - 2010 Fourth Asia …, 2010 - ieeexplore.ieee.org
This paper proposes an alternate view for understanding clusters and for determination of
the variables that play a significant role in cluster makeup. We explore the creation of a new …
the variables that play a significant role in cluster makeup. We explore the creation of a new …
[PDF][PDF] 11th Pangborn Sensory Science Symposium
SE García-Barrón, EJH López, D Valentin… - researchgate.net
Consumers responses are not homogeneous. In that sense, the attributes of the products
are not valued in the same way. For this reason, it is great interest to detect consumer …
are not valued in the same way. For this reason, it is great interest to detect consumer …