Electronic nose based investigation of the sensorial properties of peaches and nectarines

Author:

Di Natale Corrado,Macagnano Antonella,Martinelli Eugenio,Proietti Emanuela,Paolesse Roberto,Castellari Lorena,Campani Stefano,D’Amico Arnaldo

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

Reference10 articles.

1. J.R.J. Pare, J.M.R. Belenger (Eds.), Instrumental Techniques in Food Analysis, Elsevier, Amsterdam, The Netherlands, 1997.

2. A method for prediction by combining data analysis and neural networks: application to prediction of apple quality using near infrared spectra;Bochearuw;J. Agric. Eng. Res.,1990

3. Magnet console design of an NMR based sensor to detect ripeness of fruit;Cho;Trans. ASAE,1999

4. Neural network based electronic nose for apple ripeness determination;Hines;Electronic Lett.,1999

5. Y. Sarig, Utilisation of the olfactory characteristics of fruits and vegetables as a potential method for determining their ripeness and readiness for harvest, in: Proceedings of the International Workshop on Sensing Quality of Agricultural Products: Sensoral’97, Montpellier, France, 23–27 February 1997.

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