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Application of artificial intelligence in food industry—a guideline
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …
past few decades due to the rising of food demands in line with the increasing of the world …
Electronic noses: from advanced materials to sensors aided with data processing
Artificial olfaction, ie, e‐nose, plays a critical function in robotics by mimicking the human
olfactory organ that can recognize different smells that correlate with a range of fields …
olfactory organ that can recognize different smells that correlate with a range of fields …
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
YD Zhang, Z Dong, X Chen, W Jia, S Du… - Multimedia Tools and …, 2019 - Springer
Fruit category identification is important in factories, supermarkets, and other fields. Current
computer vision systems used handcrafted features, and did not get good results. In this …
computer vision systems used handcrafted features, and did not get good results. In this …
Electronic nose and its application in the food industry: a review
M Wang, Y Chen - European Food Research and Technology, 2024 - Springer
Food is closely related to human life. With the development of the times, the human demand
for food has changed dramatically. People pay closer attention to the safety, health …
for food has changed dramatically. People pay closer attention to the safety, health …
Intelligent food processing: Journey from artificial neural network to deep learning
Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …
technology. With an increase in industrial automation and the Internet of Things, now it is …
Electronic nose as a tool for early detection of diseases and quality monitoring in fresh postharvest produce: A comprehensive review
Postharvest diseases and quality degradation are the major factors causing food losses in
the fresh produce supply chain. Hence, detecting diseases and quality deterioration at the …
the fresh produce supply chain. Hence, detecting diseases and quality deterioration at the …
A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star
With the increasing number of samples, the manual clustering of COVID-19 and medical
disease data samples becomes time-consuming and requires highly skilled labour …
disease data samples becomes time-consuming and requires highly skilled labour …
Advances in electronic nose development for application to agricultural products
W Jia, G Liang, Z Jiang, J Wang - Food Analytical Methods, 2019 - Springer
High agricultural product quality is a fundamental requirement for consumers and odor is an
important indicator that reflects product quality. Conventional analysis methods are based …
important indicator that reflects product quality. Conventional analysis methods are based …
Storage quality prediction of winter jujube based on particle swarm optimization-backpropagation-artificial neural network (PSO-BP-ANN)
J Zhang, C Chen, C Wu, X Kou, Z Xue - Scientia Horticulturae, 2024 - Elsevier
The quality prediction of winter jujube during storage is crucial to improve its postharvest
value. Postharvest winter jujube was treated with 1 μL L− 1 1-MCP and 5 μL L− 1 O 3 …
value. Postharvest winter jujube was treated with 1 μL L− 1 1-MCP and 5 μL L− 1 O 3 …
Effectiveness of transfer learning and fine tuning in automated fruit image classification
R Siddiqi - Proceedings of the 2019 3rd international conference …, 2019 - dl.acm.org
Automated fruit image classification is a challenging problem. The study presented (in this
paper) analyzes the effectiveness of transfer learning and fine tuning in improving …
paper) analyzes the effectiveness of transfer learning and fine tuning in improving …