Artificial intelligence in animal farming: A systematic literature review

J Bao, Q **e - Journal of Cleaner Production, 2022 - Elsevier
Some scientific researches have been conducted recently based on Artificial Intelligence
(AI) to solve animal welfare and health related problems. However, no review study was …

Machine learning‐enabled smart sensor systems

N Ha, K Xu, G Ren, A Mitchell… - Advanced Intelligent …, 2020 - Wiley Online Library
Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

A breathalyzer for the assessment of chronic kidney disease patients' breathprint: Breath flow dynamic simulation on the measurement chamber and experimental …

R Kalidoss, S Umapathy… - … Signal Processing and …, 2021 - Elsevier
Chemical sensor technologies with appropriate chamber design influence the kinetic
adsorption of exhaled breath. Moreover, emphasize on feature extraction from breathprint …

Machine learning‐reinforced noninvasive biosensors for healthcare

K Zhang, J Wang, T Liu, Y Luo, XJ Loh… - Advanced Healthcare …, 2021 - Wiley Online Library
The emergence and development of noninvasive biosensors largely facilitate the collection
of physiological signals and the processing of health‐related data. The utilization of …

DWTLSTM for electronic nose signal processing in beef quality monitoring

DR Wijaya, R Sarno, E Zulaika - Sensors and Actuators B: Chemical, 2021 - Elsevier
The smart packaging system is needed to continuously monitor the quality of beef and
microbial population for both the meat industries as well as end consumers. Moreover …

Detecting pork adulteration in beef for halal authentication using an optimized electronic nose system

R Sarno, K Triyana, SI Sabilla, DR Wijaya… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, the issue of food authentication has gained attention, especially halal
authentication, because of cases of pork adulteration in beef. Many studies have developed …

Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: A review

E Bonah, X Huang, JH Aheto, R Osae - Journal of food science and …, 2020 - Springer
Food safety issues across the global food supply chain have become paramount in
promoting public health safety and commercial success of global food industries. As food …

[HTML][HTML] Ensemble machine learning approach for electronic nose signal processing

DR Wijaya, F Afianti, A Arifianto, D Rahmawati… - Sensing and Bio …, 2022 - Elsevier
Electronic nose (e-nose) systems have been reported to be used in many areas as rapid,
low-cost, and non-invasive instruments. Especially in meat production and processing, e …

Artificial neural network-based shelf life prediction approach in the food storage process: A review

C Shi, Z Zhao, Z Jia, M Hou, X Yang… - Critical Reviews in …, 2024 - Taylor & Francis
The prediction of food shelf life has become a vital tool for distributors and consumers,
enabling them to determine storage and optimal edible time, thus avoiding unexpected food …

Current progress on meat food authenticity detection methods

J Du, M Gan, Z **e, C Zhou, M Li, M Wang, H Dai… - Food Control, 2023 - Elsevier
Meat adulteration could be intentional or unintentional, which may infringe consumers' rights
and interests, endanger public health, disrupt the market, and hinder the development of the …