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Image Search Results


Artificial Neural Network (ANN) applications in hyperspectral image analysis of food products.

Journal: Current Research in Food Science

Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

doi: 10.1016/j.crfs.2021.01.002

Figure Lengend Snippet: Artificial Neural Network (ANN) applications in hyperspectral image analysis of food products.

Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

Techniques: Biomarker Discovery, Software

Deep Learning (DL) applications in hyperspectral image analysis of food products.

Journal: Current Research in Food Science

Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

doi: 10.1016/j.crfs.2021.01.002

Figure Lengend Snippet: Deep Learning (DL) applications in hyperspectral image analysis of food products.

Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

Techniques: Biomarker Discovery, Software, Activation Assay, Control, Extraction

Support Vector Machines (SVM) applications in hyperspectral image analysis of food products.

Journal: Current Research in Food Science

Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

doi: 10.1016/j.crfs.2021.01.002

Figure Lengend Snippet: Support Vector Machines (SVM) applications in hyperspectral image analysis of food products.

Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

Techniques: Plasmid Preparation, Biomarker Discovery, Software, Infection, Sampling

Decision trees (DT) applications in hyperspectral image analysis of food products.

Journal: Current Research in Food Science

Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

doi: 10.1016/j.crfs.2021.01.002

Figure Lengend Snippet: Decision trees (DT) applications in hyperspectral image analysis of food products.

Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

Techniques: Biomarker Discovery, Software, Selection, Infection

Random Forest (RF) applications in hyperspectral image analysis of food products.

Journal: Current Research in Food Science

Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

doi: 10.1016/j.crfs.2021.01.002

Figure Lengend Snippet: Random Forest (RF) applications in hyperspectral image analysis of food products.

Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

Techniques: Biomarker Discovery, Software, Virus, Infection

k-Nearest Neighbor (k-NN) applications in hyperspectral image analysis of food products.

Journal: Current Research in Food Science

Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

doi: 10.1016/j.crfs.2021.01.002

Figure Lengend Snippet: k-Nearest Neighbor (k-NN) applications in hyperspectral image analysis of food products.

Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

Techniques: Biomarker Discovery, Software, Residue, Extraction