Fusion of aroma, FT-IR and UV sensor data based on the Bayesian inference. Application to the discrimination of white grape varieties
- 20 November 2002
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 65 (2) , 209-219
- https://doi.org/10.1016/s0169-7439(02)00111-9
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Using Genetic Algorithms to Select Wavelengths in Near-Infrared Spectra: Application to Sugar Content Prediction in CherriesApplied Spectroscopy, 2000
- Ground based sensing systems for autonomous agricultural vehiclesComputers and Electronics in Agriculture, 2000
- A Methodology for Sensor Fusion Design: Application to Fruit Quality AssessmentJournal of Agricultural Engineering Research, 1999
- On-line Fusion of Colour Camera and Spectrophotometer for Sugar Content Prediction of ApplesJournal of Agricultural Engineering Research, 1999
- Optimisation of electronic nose measurements. Part II: Influence of experimental parametersJournal of Food Engineering, 1999
- Recognition by Robot Visual Sensor Based on Sensor Fusion. Fuse Range Image and 2-dimentional Image.Shokubutsu Kojo Gakkaishi, 1997
- Sensors for Fruit Firmness Assessment: Comparison and FusionJournal of Agricultural Engineering Research, 1996
- Genetic Algorithms as a Tool for Wavelength Selection in Multivariate CalibrationAnalytical Chemistry, 1995
- Fusion Classification Techniques for Fruit QualityTransactions of the ASAE, 1995
- ON AUTOMATIC FEATURE SELECTIONInternational Journal of Pattern Recognition and Artificial Intelligence, 1988