Effects of bruise type on discrimination of bruised and non-bruised 'Golden Delicious' apples by VIS/NIR spectroscopy

Postharvest Biology and Technology

Volumn 30, Issue 3, 2003, Pages 249-258

  Xing, Juan ^a   Landahl, Sandra ^a   Lammertyn, Jeroen ^a   Vrindts, Els ^a   De Baerdemaeker, Josse ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Apple; Bruise; Canonical discriminant analysis; Compression; Impact; VIS NIR spectroscopy

Indexed keywords

MALUS X DOMESTICA;

EID: 0348155634     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-5214(03)00117-0     Document Type: Article

References (14)

1. Aneshansley, D.J., Throop, J.A., Upchurch, B.L., 1997. Reflectance spectra of surface defects on apples. In: Sensors for Nondestructive Testing: Measuring the Quality of Fresh Fruits and Vegetables. Northeast Regional Agricultural Engineering Service Publication No. 97, Ithaca, NY 14853, pp. 143-159.
2. Blahovec, J., Patoèka, K., Bareš, J., 1997. Low-level bruising of stored apples due to quasi-static loading up to constant compression strain. J. Text. Stud. 28, 87-99.
3. Brown, G.K., Schulte, N.L., Timm, E.J., Armstrong, P.R., Marshall, D.E., 1993. Reduce apple bruise damage. Tree Fruit Postharvest J. 4, 6-10.
4. Geoola, F., Geoola, F., Peiper, U.M., 1994. A spectrophotometric method for detecting surface bruises on "Golden Delicious" apples. J. Agric. Eng. Res. 58, 47-51.
5. Holt, J.E., Schoorl, D., 1984. Mechanical properties and texture of stored apples. J. Text. Stud. 15, 377-394.
6. Kim, M.S., Chen, Y.R., Mehl, P.M., 2001. Hyperspectral reflectance and fluorescence imaging system for food quality and safety. Trans. ASAE 44, 721-729.
7. Mohsenin, N.N., 1986. Physical Properties of Plant and Animal Materials. Gordon and Breach, London, pp. 553-560.
8. Norris, K.H., 1983. Extracting information from spectrophotometric curves: predicting chemical composition from visible and near-infrared spectra. In: Martins H., Russworm J. (Eds.), Food Research and Data Analysis, Applied Science Publishers, Barking, pp. 95-113.
9. SAS Institute Inc., 1990. SAS/STAT® User's Guide, Version 6, vol. 1, fourth ed. SAS Institute Inc., Cary, NC, pp. 387-399.
10. Sharma, S., 1996. Applied Multivariate Data Analysis. Wiley, New York.
11. Shewfelt, R.L., Prussia, S.E., 1993. Postharvest Handling: A Systems Approach. Academic Press, California.
12. Upchurch, B.L., Throop, J.A., Aneshansley, D.J., 1994. Influence of time, bruise-type, and severity on near-infrared reflectance from apple surfaces for automatic bruise detection. Trans. ASAE 37, 1571-1575.
13. Van Zeebroeck, M., Tijskens, E., Van Liedekerke, P., Deli, V., De Baerdemaeker, J., Ramon, H., 2003. Determination of dynamical behaviour of biological materials during impact using a pendulum device. J. Sound Vib., in press.
14. Zwiggelaar, R., Yang, Q.S., Garcis-Pardo, E., Bull, C.R., 1996. Use of spectral information and machine vision for bruise detection on peaches and apricots. J. Agric. Eng. Res. 63, 323-332.