Non-destructive grading of peaches by near-infrared spectrometry

Infrared Physics and Technology

Volumn 46, Issue 1-2 SPEC. ISS., 2004, Pages 23-29

  Carlomagno, G ^a   Capozzo, L ^a   Attolico, G ^a   Distante, A ^a  

^a INSTITUTE OF INTELLIGENT SYSTEMS FOR AUTOMATION   (Italy)

Author keywords

NIR transmittance Spectrometry; Non destructive fruit grading

Indexed keywords

CUSTOMER SATISFACTION; GRADING; INFRARED SPECTROSCOPY; PARAMETER ESTIMATION; PRODUCTION; QUALITY ASSURANCE;

FOOD QUALITY; NEAR-INFRARED (NIR) TRANSMITTANCE SPECTROMETRY; NON-DESTRUCTIVE FOOD GRADING; PEACHES;

FOOD PRODUCTS;

EID: 7544232174     PISSN: 13504495     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infrared.2004.03.004     Document Type: Article

References (8)

1. Studman C.J. Computers and electronics in postharvest technology - a review. Comput. Electron. Agric. 30:2001;109-124.
2. Skoog, Leary, Chimica Analitica Strumentale, 2000.
3. Peiris K.H.S., Dull G.G., Leffler R.G., Kays S.J. Near-infrared spectrometric method for non-destructive determination of soluble solids content of peaches. J. Am. Soc. Hort. Sci. 123(5):1998;898-905.
4. Fligge M., Solanki S.K. Noise reduction in astronomical spectra using wavelet packets. Astron. Astrophys, Suppl. Ser. 124:1997;579-587.
5. Daubechies I. Ten Lectures on Wavelets. 1992;SIAM.
6. Meyer Y. Wavelets: Algorithms & Applications. 1993;Society for Industrial and Applied Mathematics, Philadelphia.
7. Wickerhauser M.V. INRIA, Lectures on Wavelet Packets Algorithms. 1991;Yale University, New Haven.
8. Theodoridis S., Koutroumbas K. Pattern Recog. 1999;26-30.