Research progress on detection techniques for point-of-care testing of foodborne pathogens

S Liu, K Zhao, M Huang, M Zeng, Y Deng… - … in Bioengineering and …, 2022 - frontiersin.org
The global burden of foodborne disease is enormous and foodborne pathogens are the
leading cause of human illnesses. The detection of foodborne pathogenic bacteria has …

Lychee surface defect detection based on deep convolutional neural networks with gan-based data augmentation

C Wang, Z Xiao - Agronomy, 2021 - mdpi.com
The performance of fruit surface defect detection is easily affected by factors such as noisy
background and foliage occlusion. In this study, we choose lychee as a fruit type to …

A CNN-based lightweight ensemble model for detecting defective carrots

W Xie, S Wei, Z Zheng, D Yang - Biosystems Engineering, 2021 - Elsevier
Highlights•CarrotNet was proposed based on AlexNet tailored for detecting carrot
defects.•The optimised CarrotNet got an accuracy of 97.04% and a detection speed of 80 …

Morphological measurement for carrot based on three-dimensional reconstruction with a ToF sensor

W Xie, S Wei, D Yang - Postharvest Biology and Technology, 2023 - Elsevier
Abstract The three-dimensional (3D) shape information of carrot is vital for carrot grading
and phenotyping analysis, which cannot be obtained accurately based on the two …

Application of machine vision system in food detection

Z Xiao, J Wang, L Han, S Guo, Q Cui - Frontiers in Nutrition, 2022 - frontiersin.org
Food processing technology is an important part of modern life globally and will undoubtedly
play an increasingly significant role in future development of industry. Food quality and …

Polarization imaging based bruise detection of nectarine by using ResNet-18 and ghost bottleneck

Y Yang, L Wang, M Huang, Q Zhu, R Wang - Postharvest Biology and …, 2022 - Elsevier
Bruise reduces the edible quality of nectarines and brings potential risks of cross-infection of
fruit, but it is challenging to accurately detect bruised nectarines because of the color …

Extraction and modeling of carrot crack for crack removal with a 3D vision

W Xie, K Huang, S Wei, D Yang - Computers and Electronics in Agriculture, 2024 - Elsevier
The removal of defects from fruit and vegetable is conducive to improving resource
utilization and reducing environmental pollution. However, it has been neglected by …

Recent advances in Transformer technology for agriculture: A comprehensive survey

W Xie, M Zhao, Y Liu, D Yang, K Huang, C Fan… - … Applications of Artificial …, 2024 - Elsevier
Intelligent agriculture is critical for guiding agricultural production and enhancing efficiency
through early disease diagnosis, yield estimation, automatic harvest, and postharvest …

A transfer learning-based CNN deep learning model for unfavorable driving state recognition

J Chen, H Wang, E He - Cognitive Computation, 2024 - Springer
The detection of unfavorable driving states (UDS) of drivers based on electroencephalogram
(EEG) measures has received continuous attention from extensive scholars on account of …

Hyperspectral imaging system for pre-and post-harvest defect detection in paprika fruit

MA Faqeerzada, YN Kim, H Kim, T Akter, H Kim… - Postharvest Biology and …, 2024 - Elsevier
External defects in paprika fruit (Capsicum annuum, L. var. angulosum) directly impact their
storage and marketability, potentially leading to internal decay and altering fruit appearance …