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Image Search Results
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: Identification of rice seed cultivar , 900–1700 , – , Image thresholding , – , 75:25 ,
Techniques: Software
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: Identification of rice seed cultivar , 900–1700 , – , Image thresholding , – , 75:25 ,
Techniques: Plasmid Preparation, Software, Infection, Sampling
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: Identification of rice seed cultivar , 900–1700 , – , Image thresholding , – , 75:25 ,
Techniques: Software, Infection
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: Identification of wheat classes , 900–1700 , Normalization , Image cropping and thresholding , Back propagation neural network , 01 , 100 , 01 , – , 01 , 08 , 60:40 ,
Techniques: Software