Mass modeling of Bam orange with ANFIS and SPSS methods for using in machine vision

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 9, 2013, Pages 3333-3341

  Sabzi, Sajad ^a   Javadikia, Payam ^a   Rabani, Hekmat ^a   Adelkhani, Ali ^b  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

ANFIS; Image processing; Orange; Physical properties; SPSS

Indexed keywords

COMPUTER VISION; IMAGE PROCESSING; PHYSICAL PROPERTIES;

ANFIS; COEFFICIENT OF DETERMINATION; ERROR PERCENTAGE; MASS MODELING; ORANGE; PACKAGING INDUSTRY; SIZING SYSTEM; SPSS;

CITRUS FRUITS;

EID: 84881150355     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2013.06.005     Document Type: Article

References (27)

1. J.C. Favier, J.I. Ripert, C. Toque, M. Feinberg, Repertoire general des aliments, in: Inra (Ed.), Paris, 1995.
2. A. Topuz, M. Topakci, M. Canakci, I. Akinci, and F. Ozdemir Physical and nutritional properties of four orange varieties Journal of Food Engineering 66 2005 519 523
3. H.S. Lee, and G.A. Coates Vitamin C in frozen, fresh squeezed, unpasteurized, polyethylene-bottled orange juice: a storage study Food Chemistry 65 1999 165 168 (Pubitemid 29099842)
4. A.M. Pupin, M.J. Dennis, and M.C.F. Toledo HPLC analysis of carotenoids in orange juice Food Chemistry 64 1999 269 275 (Pubitemid 28552684)
5. S. Moufida, and B. Marzouk Biochemical characterization of blood orange, sweet orange, lemon, bergamot & bitter orange Phytochemistry 62 2003 1283 1289 (Pubitemid 36383602)
6. FAO, Agricultural statistics, www.fao.org, 2002.
7. A. Tabatabaeefar, and A. Rajabipour Modeling the mass of apples by geometrical attributes Scientia Horticulturae 105 2005 373 382 (Pubitemid 40717509)
8. W. Spreer, and J. Müller Estimating the mass of mango fruit (Mangifera Indica, cv.chok anan) from its geometric dimensions by optical measurement Computers and Electronics in Agriculture 75 2011
9. M. Omid, M. Khojastehnazhand, and A. Tabatabaeefar Estimating volume and mass of citrus fruits by image processing technique Journal of Food Engineering 100 2010 315 321
10. S. Ercisli, B. Sayinci, M. Kara, C. Yildiz, and I. Ozturk Determination of size and shape features of walnut (Juglans regia L.) cultivars using image processing Scientia Horticulturae 133 2012 47 55
11. B. Sayinci, S. Ercisli, I. Ozturk, Z. Eryilmaz, and B. Demir Determination of size and shape in the 'Moro' blood orange and 'Valencia' sweet orange cultivar and its mutants using image processing Notulae Botanicae Horti Agrobotanici Cluj-Napuca 40 1 2012 234 242
12. M.G. Boydas, B. Sayinci, S. Gozlekci, I. Ozturk, and S. Ercisli Basic physical properties of fruits in loquat (Eriobotrya Japonica (Thunb. Lindl.) cultivars and genotypes determined by both classical method and digital image processing African Journal of Agricultural Research 7 29 2012 4171 4181
13. M. Rashidi, M. Gholami, and S. Abbassi Cantaloupe volume determination through image processing Journal of Agricultural Sciences Technology 11 2009 623 631
14. A. Tabatabaeefar, A.V. Nematolahee, and A. Rajabipour Modeling of orange mass based on dimensions Journal of Agricultural Sciences Technology 2 2000 299 305
15. S.M.A. Razavi, and N. NULL Some physical and mechanical properties of Kiwifruit International Journal of Food Engineering 2007
16. C.C. Teoh, and A.R.M. Syaifudin Use of image analysis for grading size of mango Acta Horticulturae 710 2006 485 490
17. I. Kavdir, and D.E. Guyer Apple sorting using artificial neural network & spectral imaging ASABE 45 2002 1995 2005 (Pubitemid 37387783)
18. Y. Yibin, New method to identify shape, size & surface defect of huanghua Pear with machine vision-Part: development of hardware & image preprocessing method, in: International Conference on Agricultural Engineering, Beijing: Natural Science Funds of China, Beijing, 1999, pp. 79-86.
19. I. Paulus, and E. Schrevens Evaluating & modelling thesize classifcation of apples Journal of Agricultural Engineering Research 74 1999 411 419 (Pubitemid 129671589)
20. A. Adelkhani, B. Beheshti, S. Minaei, and P. Javadikia Optimization of lighting conditions and camera height for citrus image processing World Applied Sciences Journal 18 10 2012 1435 1442
21. R.C. Gonzalez, R.E. Woods, and S.L. Eddins Digital Image Processing Using MATLAB 2004 Prentice Hall
22. N.N. Mohsenin Physical Properties of Plant & Animal Materials 1986 Gordon & Breach Sci. Publ New York
23. J.S.R. Jang ANFIS: Adaptive-Network-based Fuzzy Inference System IEEE Transaction on System Man and Cybernetics 23 1993 665 685
24. H. Zheng, B. Jiang, and H. Lu An adaptive neural-fuzzy inference system (ANFIS) for detection of bruises on Chinese bayberry (Myrica Rubra) based on fractal dimension and RGB intensity color Journal of Food Engineering 104 2011 663 667
25. A.B. Melek, and A. Derya An adaptive network-based fuzzy inference system (ANFIS) for the prediction of stock market return: the case of the istanbul stock exchange Expert Systems with Applications 37 2010 7908 7912
26. L. Naderloo, R. Alimardani, M. Omid, F. Sarmadian, P. Javadikia, M.Y. Torabi, and F. Alimardani Application of ANFIS to predict crop yield based on different energy inputs Measurement 45 2012 1406 1413
27. A.F. Güneri, T. Ertay, and A. Yücel An approach based on ANFIS input selection and modeling for supplier selection problem Expert Systems with Applications 38 2011 14907 14917