Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples
Jiraporn Onmankhong, Te Ma, Tetsuya Inagaki, Panmanas Sirisomboon, Satoru Tsuchikawa
Topics & Concepts
Hyperspectral imagingSupport vector machineBrown riceArtificial intelligenceConvolutional neural networkPattern recognition (psychology)Computer scienceNear-infrared spectroscopyData setDeep learningTest setRemote sensingChemistryPhysicsOpticsGeologyFood scienceSpectroscopy and Chemometric AnalysesSpectroscopy Techniques in Biomedical and Chemical ResearchAdvanced Chemical Sensor Technologies