A data fusion detection method for fish freshness based on computer vision and near-infrared spectroscopy
By Xingyi Huang, Haixia Xu, Lei Wu, H. Dai, L. Yao, Fangkai Han. 2016
75 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Industrial and Manufacturing Engineering, Water Science and Technology
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In Analytical Chemistry
Citations in the corpus
- Deep learning and machine vision for food processing: A survey (2021, methodology): “Iraji (2018) combined multiple input features, neural networks, regression, and ELM to a system named Multi-layer Architecture of a SUB-Adaptive Neuro-Fuzzy Inference System. The system and a Deep Stacked Sparse Auto-Encoders (DSSAEs) were used to grade tomatoes, using the full tomato images (rather”