Quality assessment of chicken using machine learning and electronic nose
Meat is highly perishable food and prone to microbial contamination under various storage conditions. Quality assessment at both retail and industrial levels often relies on organoleptic properties, gas chromatography, and total bacterial count, all of which require trained personnel and significant...
Saved in:
Main Authors: | Hassan Anwar, Talha Anwar |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Sensing and Bio-Sensing Research |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214180425000054 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors
by: Giacomo Peruzzi, et al.
Published: (2025-01-01) -
ExAIRFC-GSDC: An Advanced Machine Learning-Based Interpretable Framework for Accurate Gas Leakage Detection and Classification
by: B. Lalithadevi, et al.
Published: (2025-01-01) -
Artificial intelligence and machine learning techniques for power quality event classification: a focused review and future insights
by: Indu Sekhar Samanta, et al.
Published: (2025-03-01) -
Using of chicken and turkey meat in salami production
by: Mustafa Atasever, et al. -
Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria
by: Oluwaseun Isaac Odufisan, et al.
Published: (2025-03-01)