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 …

Advanced techniques for the intelligent diagnosis of fish diseases: A review

D Li, X Li, Q Wang, Y Hao - Animals, 2022 - mdpi.com
Simple Summary The automatic diagnosis of fish diseases is an important task in smart
aquaculture, and plays a key role in detecting fish conditions, understanding disease signs …

Smart deep learning-based approach for non-destructive freshness diagnosis of common carp fish

A Taheri-Garavand, A Nasiri, A Banan… - Journal of Food …, 2020 - Elsevier
Smart deep learning-based approach for non-destructive freshness diagnosis of common carp
fish - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search …

[HTML][HTML] Effects of combined roasting and steam cooking on NaCl reduction and quality changes in marinated salmon flesh as compared with roasting and water bath …

F Lian, JH Cheng, H Wang, DW Sun - LWT, 2023 - Elsevier
In this study, combining roasting with steam cooking was proposed to reduce sodium
chloride (NaCl) content during cooking operations. The NaCl reduction effects of roasting …

Investigation of moisture content uniformity of microwave-vacuum dried mushroom (Agaricus bisporus) by NIR hyperspectral imaging

X Lin, JL Xu, DW Sun - Lwt, 2019 - Elsevier
This study aimed to investigate the impact of microwave-vacuum drying (MVD) on moisture
uniformity in mushroom slices and whole mushrooms (Agaricus bisporus) by near infrared …

Intelligent cutting in fish processing: Efficient, high-quality, and safe production of fish products

J Fu, Y He, F Cheng - Food and Bioprocess Technology, 2024 - Springer
Fish processing is an indispensable part of fish food production. It mainly involves de-
heading, gutting, filleting, skinning, trimming, and slicing, with the cutting operations holding …

Cutting techniques in the fish industry: A critical review

W Liu, J Lyu, D Wu, Y Cao, Q Ma, Y Lu, X Zhang - Foods, 2022 - mdpi.com
Fish and fishery products are among the most important sources of nutritional components
for human health, including high-quality proteins, essential vitamins, minerals, and healthy …

Detection of surface and subsurface defects of apples using structured-illumination reflectance imaging with machine learning algorithms

Y Lu, R Lu - Transactions of the ASABE, 2018 - elibrary.asabe.org
Machine vision technology coupled with uniform illumination is now widely used for
automatic sorting and grading of apples and other fruits, but it still does not have satisfactory …

Automation in the fish industry

H Einarsdóttir, B Guðmundsson, V Ómarsson - Animal Frontiers, 2022 - academic.oup.com
Automation in the fish industry | Animal Frontiers | Oxford Academic Skip to Main Content
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[HTML][HTML] A vision system based on CNN-LSTM for robotic citrus sorting

Y Yu, X An, J Lin, S Li, Y Chen - Information Processing in Agriculture, 2024 - Elsevier
Compared with manual sorting of citrus fruit, vision-based sorting solutions can help achieve
higher accuracy and efficiency. In this study, we present a vision system based on CNN …