Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach
Te Ma, Satoru Tsuchikawa, Tetsuya Inagaki
Topics & Concepts
Hyperspectral imagingPrincipal component analysisArtificial intelligenceSupport vector machineComputer scienceRGB color modelConvolutional neural networkPattern recognition (psychology)InterpretabilityMachine learningSpectroscopy and Chemometric AnalysesAgricultural Engineering and MechanizationLeaf Properties and Growth Measurement