Smart Odour Sensing for Automated Monitoring of Bread Products
This work proposes an electronic nose (e-nose) system based on resistive gas sensors to predict the cooking evolution of different types of bread. The e-nose includes six metal-oxide semiconductor (MOS) gas sensors, a low-noise electronic system for signal conditioning and data acquisition, and a cl...
Saved in:
| Main Authors: | Carmen Bax, Bianca di Diodoro, Alessandro Ticozzi, Nicolò Dellarosa, Flavio Corazza, Giacomo Langfelder, Laura Capelli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-04-01
|
| Series: | Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-3900/97/1/172 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data Processing Procedure for Real-Time Odour Concentration Estimation at Industrial Plant Fenceline by Sensor-Based Tools
by: Christian Ratti, et al.
Published: (2024-03-01) -
Automated Creation and Provisioning of Decision Information Packages for the Smart Factory
by: Eva Hoos, et al.
Published: (2018-07-01) -
Towards a smart factory in the pharmaceutical industry
by: Majstorović Vidosav D.
Published: (2025-01-01) -
Industry 4.0 in Agriculture: Smart Agricultural Applications and Drone Use in Agriculture
by: Fatih Çağatay Baz
Published: (2025-05-01) -
Operator as a Service: A New Concept for Remote Supervision of Automated Manufacturing Lines
by: Marco Ojer, et al.
Published: (2025-01-01)