Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
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 …
and analysing food quality and safety products is of significance for the food industry …
Deep learning for visual recognition and detection of aquatic animals: A review
J Li, W Xu, L Deng, Y **ao, Z Han… - Reviews in …, 2023 - Wiley Online Library
The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …
biological world, especially in aquaculture. How to accurately and intelligently recognise …
Detection and classification of tea buds based on deep learning
W Xu, L Zhao, J Li, S Shang, X Ding, T Wang - Computers and Electronics …, 2022 - Elsevier
The detection and classification of tea is the premise to realize the automation and
intelligence of the famous and high-quality tea picking. The tea buds and tender leaves, as …
intelligence of the famous and high-quality tea picking. The tea buds and tender leaves, as …
Recent advances in shelf life prediction models for monitoring food quality
F Cui, S Zheng, D Wang, X Tan, Q Li… - … Reviews in Food …, 2023 - Wiley Online Library
Abstract Each year, 1.3 billion tons of food is lost due to spoilage or loss in the supply chain,
accounting for approximately one third of global food production. This requires a …
accounting for approximately one third of global food production. This requires a …
Long-term exposure to high-concentration silver nanoparticles induced toxicity, fatality, bioaccumulation, and histological alteration in fish (Cyprinus carpio)
Background Currently, nanotechnology and nanoparticles have quickly emerged and have
gained the attention of scientists due to their massive applications in environmental sectors …
gained the attention of scientists due to their massive applications in environmental sectors …
Temperate fish detection and classification: a deep learning based approach
A wide range of applications in marine ecology extensively uses underwater cameras. Still,
to efficiently process the vast amount of data generated, we need to develop tools that can …
to efficiently process the vast amount of data generated, we need to develop tools that can …
Discrimination of Pericarpium Citri Reticulatae in different years using Terahertz Time-Domain spectroscopy combined with convolutional neural network
Abstract Pericarpium Citri Reticulatae (PCR) in longer storage years possess higher
medicinal values, but their differentiation is difficult due to similar morphological …
medicinal values, but their differentiation is difficult due to similar morphological …
A generic intelligent tomato classification system for practical applications using DenseNet-201 with transfer learning
T Lu, B Han, L Chen, F Yu, C Xue - Scientific Reports, 2021 - nature.com
A generic intelligent tomato classification system based on DenseNet-201 with transfer
learning was proposed and the augmented training sets obtained by data augmentation …
learning was proposed and the augmented training sets obtained by data augmentation …
An automatic sorting system for unwashed eggs using deep learning
Egg quality and safety are significant concerns of consumers and modern food industries.
This study proposes a novel and precise assessment of egg sorting using a deep …
This study proposes a novel and precise assessment of egg sorting using a deep …
[HTML][HTML] A survey on fish classification techniques
Fish classification (FC) is an expansively studied problem in the domains of image
segmentation, pattern recognition, and information retrieval. It has been applied in a …
segmentation, pattern recognition, and information retrieval. It has been applied in a …