Recent advances in starch-based coatings for the postharvest preservation of fruits and vegetables

L Dai, X Wang, X Mao, L He, C Li, J Zhang… - Carbohydrate Polymers, 2024 - Elsevier
Efficient and low-cost postharvest preservation of fruits and vegetables has always been one
of the urgent problems to be solved in the food field. Due to the wide sources, good …

An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

M Mei, J Li - Computers and Electronics in Agriculture, 2023 - Elsevier
Background Bruising is a kind of subcutaneous tissue injury that does not involve the rupture
of fresh fruit epidermis. This damage can occur at any stage from picking, storage and …

[HTML][HTML] Real-time visual inspection system for grading fruits using computer vision and deep learning techniques

N Ismail, OA Malik - Information Processing in Agriculture, 2022 - Elsevier
Traditional manual visual grading of fruits has been one of the important challenges faced
by the agricultural industry due to its laborious nature as well as inconsistency in inspection …

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

C Zhao, Y Xu, Z He, J Tang, Y Zhang, J Han, Y Shi… - Pattern Recognition, 2021 - Elsevier
This paper aims to develop an automatic method to segment pulmonary parenchyma in
chest CT images and analyze texture features from the segmented pulmonary parenchyma …

Visual SLAM for robot navigation in healthcare facility

B Fang, G Mei, X Yuan, L Wang, Z Wang, J Wang - Pattern recognition, 2021 - Elsevier
The COVID-19 pandemic has affected many countries, posing a threat to human health and
safety, and putting tremendous pressure on the medical system. This paper proposes a …

In-field grading and sorting technology of apples: A state-of-the-art review

J Yu, Z Zhang, Y Li, W Hua, X Wei… - … and Electronics in …, 2024 - Elsevier
Apple is one of the most popular fruits. In-field grading and sorting of apples would enhance
growers' economic benefits by lowering production costs. This study reviews the key …

Visual inspection of steel surface defects based on domain adaptation and adaptive convolutional neural network

S Zhang, Q Zhang, J Gu, L Su, K Li, M Pecht - Mechanical Systems and …, 2021 - Elsevier
Automatic inspection methods based on machine vision have been widely employed for
steel surface defect detection. The central purpose of these methods is to extract features to …

[HTML][HTML] Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review

S Othman, NR Mavani, MA Hussain… - Journal of Agriculture …, 2023 - Elsevier
Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in
combination with detecting devices for quality assessment, particularly in adulteration and …

Multimodal MR image synthesis using gradient prior and adversarial learning

X Liu, A Yu, X Wei, Z Pan, J Tang - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
In magnetic resonance imaging (MRI), several images can be obtained using different
imaging settings (eg T1, T2, DWI, and Flair). These images have similar anatomical …

Deep learning-based postharvest strawberry bruise detection under UV and incandescent light

X Zhou, Y Ampatzidis, WS Lee, C Zhou… - … and Electronics in …, 2022 - Elsevier
Bruising is one of the major defects of strawberries. Strawberry bruised areas are often
visible as flattened, sunken, and discolored. Postharvest strawberries can be bruised by …