Detection of pest infestation in stored grain using an electronic nose system optimized for sensor arrays

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Publicado en:	Journal of Food Measurement & Characterization vol. 19, no. 1 (Jan 2025), p. 439
Publicado:	Springer Nature B.V.
Materias:	Grain Humidity Data processing Matrices (mathematics) Regression analysis Regression models Electronic noses Correlation analysis Nondestructive testing Least squares method Food quality Statistical methods Statistical analysis Prediction models Error detection Correlation coefficients Correlation coefficient Pattern recognition Grain storage Eigenvalues Data analysis Coefficient of variation Variance analysis Pests Support vector machines Root-mean-square errors Sensors Optimization Multivariate analysis Rice Sensor arrays Gaussian process Infestation Food safety Methods Mathematical models Environmental
Acceso en línea:	Citation/Abstract Full Text - PDF
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