Proceedings of International Electronic Conference on Sensors and Applications 2014
DOI: 10.3390/ecsa-1-g009
|View full text |Cite
|
Sign up to set email alerts
|

An Open-Source and Low-Cost Monitoring System for Precision Enology

Abstract: Abstract:Winemaking is a dynamic process, where microbiological and chemical effects may strongly differentiate products from the same vineyard and even between wine vats. This high variability means an increase in work in terms of control and process management. The winemaking process therefore requires a site-specific approach in order to optimize cellar practices and quality management, suggesting a new concept of winemaking, identified as Precision Enology. The Institute of Biometeorology of the Italian Na… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2014
2014
2017
2017

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 8 publications
0
1
0
Order By: Relevance
“…We chose the Arduino board because it has been successfully used for the development of monitoring systems for different applications (e.g. Bitella et al, 2014;Di Gennaro et al, 2014;Lockridge et al, 2016). The system integrates a power unit, a datalogger, and an operating temperature sensor, has a very low cost (~200€), is configurable with different measurement ranges and accuracy, and has the potential to work with additional sensors.…”
Section: Introductionmentioning
confidence: 99%
“…We chose the Arduino board because it has been successfully used for the development of monitoring systems for different applications (e.g. Bitella et al, 2014;Di Gennaro et al, 2014;Lockridge et al, 2016). The system integrates a power unit, a datalogger, and an operating temperature sensor, has a very low cost (~200€), is configurable with different measurement ranges and accuracy, and has the potential to work with additional sensors.…”
Section: Introductionmentioning
confidence: 99%