Over 20 years of machine learning applications on dairy farms: A comprehensive map** study

P Shine, MD Murphy - Sensors, 2021 - mdpi.com
Machine learning applications are becoming more ubiquitous in dairy farming decision
support applications in areas such as feeding, animal husbandry, healthcare, animal …

How chemometrics can fight milk adulteration

S Grassi, M Tarapoulouzi, A D'Alessandro… - Foods, 2022 - mdpi.com
Adulteration and fraud are amongst the wrong practices followed nowadays due to the
attitude of some people to gain more money or their tendency to mislead consumers …

Rapid identification and quantification of vegetable oil adulteration in raw milk using a flash gas chromatography electronic nose combined with machine learning

H Tian, D Wu, B Chen, H Yuan, H Yu, X Lou, C Chen - Food Control, 2023 - Elsevier
A method for detecting vegetable oil adulteration in raw milk was established using a flash
gas chromatography electronic nose (FGC E-nose) method combined with four machine …

Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms

A Atalan - Agribusiness, 2023 - Wiley Online Library
The study aimed to describe and test machine learning (ML)‐based algorithms to evaluate
the unit price of drinking milk. The algorithms were applied to the data collected over 8 years …

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 …

Artificial intelligence aided adulteration detection and quantification for red chilli powder

T Sarkar, T Choudhury, N Bansal… - Food Analytical …, 2023 - Springer
Food adulteration imposes a significant health concern on the community. Being one of the
key ingredients used for spicing up food dishes. Red chilli powder is almost used in every …

Intelligent Biosensors Promise Smarter Solutions in Food Safety 4.0

Y Chen, Y Wang, Y Zhang, X Wang, C Zhang, N Cheng - Foods, 2024 - mdpi.com
Food safety is closely related to human health. However, the regulation and testing
processes for food safety are intricate and resource-intensive. Therefore, it is necessary to …

Traceability in the Indian dairy industry: Concept and practice

M Malik, A Malik, VK Gahlawat… - International Journal of …, 2023 - Wiley Online Library
The rise in milk adulteration and contamination, fraud incidents and improper handling
necessitates effective traceability systems in the Indian dairy industry. Thus, this review …

[PDF][PDF] Swarm-Based Extreme Learning Machine Models for Global Optimization.

MA Salam, AT Azar, R Hussien - Computers, Materials & Continua, 2022 - researchgate.net
Extreme Learning Machine (ELM) is popular in batch learning, sequential learning, and
progressive learning, due to its speed, easy integration, and generalization ability. While …

Analysis of protein and fat in milk using multiwavelength gradient-boosted regression tree

T Sheng, S Shi, Y Zhu, D Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traditional chemical measurement methods for the milk composition are not only time-
consuming and laborious but also highly polluting. This has necessitated the development …