[HTML][HTML] Deep learning and machine vision for food processing: A survey
The quality and safety of food is an important issue to the whole society, since it is at the
basis of human health, social development and stability. Ensuring food quality and safety is …
basis of human health, social development and stability. Ensuring food quality and safety is …
Innovative nondestructive imaging techniques for ripening and maturity of fruits–a review of recent applications
Background For decades, fruit assessment without off-line interruption and sample
destruction was a challenge for producers, researchers and food safety agencies. Efforts …
destruction was a challenge for producers, researchers and food safety agencies. Efforts …
Evaluation of fresh meat quality by hyperspectral imaging (HSI), nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI): a review
The development of non-destructive methodologies based on Hyperspectral Imaging (HSI),
Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) techniques to …
Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) techniques to …
Recent application of imaging techniques for fruit quality assessment
Quality largely decides the time frame of realistic usability before providing a cost for fruits or
vegetables. Consequently, quality checking and testing of products have prime importance …
vegetables. Consequently, quality checking and testing of products have prime importance …
NMR in metabolomics: From conventional statistics to machine learning and neural network approaches
NMR measurements combined with chemometrics allow achieving a great amount of
information for the identification of potential biomarkers responsible for a precise metabolic …
information for the identification of potential biomarkers responsible for a precise metabolic …
Edge Detection Aided Geometrical Shape Analysis of Indian Gooseberry (Phyllanthus emblica) for Freshness Classification
This paper presents a freshness classification model for determining the quality of amla
(Phyllanthus emblica) using features extracted from the progressively deteriorating shapes …
(Phyllanthus emblica) using features extracted from the progressively deteriorating shapes …
Comparative analysis of statistical and supervised learning models for freshness assessment of oyster mushrooms
Automatic assessment of the quality of fruits and vegetables is a growing field of research in
this modern era in order to enable faster processing of good quality foods. In this work, we …
this modern era in order to enable faster processing of good quality foods. In this work, we …
Predicting effects of selected impregnation processes on the observed bending strength of wood, with use of data mining models
Wood materials have been used in many products such as furniture, stairs, windows, and
doors for centuries. There are differences in methods used to adapt wood to ambient …
doors for centuries. There are differences in methods used to adapt wood to ambient …
MRI-computer vision on fresh and frozen-thawed beef: Optimization of methodology for classification and quality prediction
T Perez-Palacios, M Ávila, T Antequera, JP Torres… - Meat Science, 2023 - Elsevier
This study aims to evaluate the capability of Magnetic Resonance Imaging (MRI) and
computer vision techniques to classify fresh (raw F)(n= 12) and frozen-thawed (FT)(n= 12) …
computer vision techniques to classify fresh (raw F)(n= 12) and frozen-thawed (FT)(n= 12) …
Machine leaning aided study of sintered density in Cu-Al alloy
Z Deng, H Yin, X Jiang, C Zhang, K Zhang… - Computational Materials …, 2018 - Elsevier
The mechanical properties of powder metallurgy (PM) materials are closely related to their
density. In this case we demonstrate an approach of utilizing machine-learning algorithms …
density. In this case we demonstrate an approach of utilizing machine-learning algorithms …