Smart screening, detection, warning, and control of 3R food hazards and their potential social science impacts
J Chen, AR Jambrak, Y Dai, Z Sun, C Sun, F Liu… - Trends in Food Science …, 2024 - Elsevier
Background The 3R foods—" ready-to-cook,"" ready-to-eat," and" ready-to-heat"—are
gaining popularity. Supporters believe that this type of food is convenient and safe …
gaining popularity. Supporters believe that this type of food is convenient and safe …
Precise prediction of metabolites patterns using machine learning approaches in distinguishing honey and sugar diets fed to mice
X Zheng, F Pan, N Naumovski, Y Wei, L Wu, W Peng… - Food Chemistry, 2024 - Elsevier
As a natural sweetener produced by honey bees, honey was recognized as being healthier
for consumption than table sugar. Our previous study also indicated that metabolite profiles …
for consumption than table sugar. Our previous study also indicated that metabolite profiles …
Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea
The rich flavors and antioxidant properties within Maofeng tea are mainly attributable to
numerous secondary metabolites and thus may be related to quality. Motivated by this …
numerous secondary metabolites and thus may be related to quality. Motivated by this …
A comparative study of optimization algorithms for feature selection on ML-based classification of agricultural data
In today's world, agricultural production and operation activities generate a lot of data. As a
result, computer-aided agriculture applications have become a hot topic in the study, with …
result, computer-aided agriculture applications have become a hot topic in the study, with …
Gaussian distribution resampling via Chebyshev distance for food computing
The problem of data imbalance often occurs in the real-world food domain. Traditional
classification algorithms are prone to overfitting on imbalanced datasets, and the decision …
classification algorithms are prone to overfitting on imbalanced datasets, and the decision …
Machine learning meets mass spectrometry: a focused perspective
DA Boiko, VP Ananikov - arXiv preprint arXiv:2407.00117, 2024 - arxiv.org
Mass spectrometry is a widely used method to study molecules and processes in medicine,
life sciences, chemistry, catalysis, and industrial product quality control, among many other …
life sciences, chemistry, catalysis, and industrial product quality control, among many other …
Longitudinal Plant Health Monitoring via High-Resolution Mass Spectrometry Screening Workflows: Application to a Fertilizer Mediated Tomato Growth Experiment
Significant efforts have been spent in the modern era towards implementing environmentally
friendly procedures like composting to mitigate the negative effects of intensive agricultural …
friendly procedures like composting to mitigate the negative effects of intensive agricultural …
Determining the quality level of ready to-eat stuffed mussels with Arduino-based electronic nose
In this study, the performance of a pre-designed and low-cost Arduino electronic nose for
determining the quality of stuffed mussels was analyzed. In addition, 1000 images were …
determining the quality of stuffed mussels was analyzed. In addition, 1000 images were …
Microbiología predictiva mediante aprendizaje automatizado para la optimización de procesos productivos: Metanálisis
V Yepes Medina - 2024 - repository.eafit.edu.co
Unsafe food containing harmful bacteria, viruses, parasites or chemicals can cause more
than 200 different illnesses, from diarrhea to cancer. Worldwide, an estimated 600 million …
than 200 different illnesses, from diarrhea to cancer. Worldwide, an estimated 600 million …