[HTML][HTML] Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

D Saha, A Manickavasagan - Current Research in Food Science, 2021 - Elsevier
Non-destructive testing techniques have gained importance in monitoring food quality over
the years. Hyperspectral imaging is one of the important non-destructive quality testing …

Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices

Y Liu, H Pu, DW Sun - Trends in Food Science & Technology, 2021 - Elsevier
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection

Y Lin, J Ma, Q Wang, DW Sun - Critical Reviews in Food Science …, 2023 - Taylor & Francis
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …

Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis

NK Mahanti, R Pandiselvam, A Kothakota… - Trends in Food Science …, 2022 - Elsevier
Background Fruits are vulnerable to mechanical damages and physiological disorders
caused by the static and dynamic forces acting on them during transportation and abiotic …

Application of high-intensity ultrasound to improve food processing efficiency: A review

P Chavan, P Sharma, SR Sharma, TC Mittal… - Foods, 2022 - mdpi.com
The use of non-thermal processing technologies has grown in response to an ever-
increasing demand for high-quality, convenient meals with natural taste and flavour that are …

[HTML][HTML] Novel nonthermal and thermal pretreatments for enhancing drying performance and improving quality of fruits and vegetables

EJ Bassey, JH Cheng, DW Sun - Trends in Food Science & Technology, 2021 - Elsevier
Background Fruits and vegetables are an essential class of food with enormous nutritional
and commercial gains. With the surge in interest for nutraceuticals, the demand for high …

Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants

A Soni, Y Dixit, MM Reis… - … Reviews in Food Science …, 2022 - Wiley Online Library
Hyperspectral imaging (HSI) is a robust and nondestructive method that can detect foreign
particles such as microbial, chemical, and physical contamination in food. This review …

[HTML][HTML] Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments

G Özdoğan, X Lin, DW Sun - Trends in Food Science & Technology, 2021 - Elsevier
Background Sensory analysis is the evaluation of the signals received through senses of
sight, sound, taste, smell, and touch. The traditional methods for the analysis of sensory …

Novel techniques for evaluating freshness quality attributes of fish: A review of recent developments

L Wu, H Pu, DW Sun - Trends in food science & technology, 2019 - Elsevier
Background Fishery plays an important role in providing abundant nutrition for consumers
as well as in international trade and foreign exchange earner. Due to the abundant …

[HTML][HTML] Smart applications and digital technologies in viticulture: A review

J Tardaguila, M Stoll, S Gutiérrez, T Proffitt… - Smart Agricultural …, 2021 - Elsevier
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …