A comprehensive review of machine learning and its application to dairy products

P Freire, D Freire, CC Licon - Critical Reviews in Food Science and …, 2024 - Taylor & Francis
Abstract Machine learning (ML) technology is a powerful tool in food science and
engineering offering numerous advantages, from recognizing patterns and predicting …

[HTML][HTML] Combination of PCA with LDA and SVM classifiers: A model for determining the geographical origin of coconut in the coastal plantation, Aceh Province …

R Hayati, AA Munawar, E Lukitaningsih, N Earlia… - Case Studies in …, 2024 - Elsevier
Since Indonesia is the world's largest producer of coconuts, it is necessary to classify them
according to their chemical profiles. The examination of coconut endosperm from 13 districts …

Prediction of anthocyanin content and variety in plum extracts using ATR-FTIR spectroscopy and chemometrics

JB Johnson, A El Orche, M Naiker - Vibrational Spectroscopy, 2022 - Elsevier
The high anthocyanin content of plums is one major contributor toward their well-known
health-benefiting effects. Consequently, rapid methods for measuring anthocyanin content …

Rapid detection of serological biomarkers in gallbladder carcinoma using fourier transform infrared spectroscopy combined with machine learning

J Dou, W Dawuti, J Li, H Zhao, R Zhou, J Zhou, R Lin… - Talanta, 2023 - Elsevier
Gallbladder cancer (GBC) is the most common malignant tumour of the biliary tract. GBC is
difficult to diagnose and treat at an early stage because of the lack of effective serum …

Investigation of pre-processing NIR spectroscopic data and classification algorithms for the fast identification of chocolate-coated peanuts and sultanas

A El Orche, JB Johnson - European Food Research and Technology, 2023 - Springer
Chocolate-coated confectionery, including fruits and nuts, is an increasingly popular snack
food. Non-destructive discrimination of the core composition could be useful for quality …

Rapid determination of the geographical origin of kimchi by Fourier transform near-infrared spectroscopy coupled with chemometric techniques

SY Kim, JH Ha - Scientific Reports, 2024 - nature.com
Determining the geographical origin of kimchi holds significance because of the
considerable variation in quality and price among kimchi products from different regions …

Microbiological quality estimation of meat using deep CNNs on embedded hardware systems

D Kolosov, LC Fengou, JM Carstensen, N Schultz… - Sensors, 2023 - mdpi.com
Spectroscopic sensor imaging of food samples meta-processed by deep machine learning
models can be used to assess the quality of the sample. This article presents an architecture …

Quality in beans: tracking and tracing coffee through automation and machine learning

L Agnusdei, PP Miglietta, GP Agnusdei - EuroMed Journal of Business, 2024 - emerald.com
Purpose Coffee is one of the most consumed beverages in the world and the global coffee
industry is worth over $100 bn. However, the industry faces significant sustainability …

[HTML][HTML] Handheld NIR Spectroscopy Combined with a Hybrid LDA-SVM Model for Fast Classification of Retail Milk

FM Tangorra, A Lopez, E Ighina, F Bellagamba… - Foods, 2024 - mdpi.com
The EU market offers different types of milk, distinguished by origin, production method,
processing technology, fat content, and other characteristics, which are often detailed on …

Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk

Z Yao, P Nie, X Zhang, C Chen, Z An, K Wei, J Zhao… - Foods, 2023 - mdpi.com
Buffalo milk is a dairy product that is considered to have a higher nutritional value compared
to cow's milk. Linoleic acid (LA) is an essential fatty acid that is important for human health …