ORIGINAL PAPER
Evaluation of process of sweet corn cutting supported by profile analysis
,
 
,
 
 
 
More details
Hide details
 
Journal of Research and Applications in Agricultural Engineering 2009;54(1):12-15
 
KEYWORDS
ABSTRACT
In the paper, profile analysis for evaluation of process of sweet corn cutting is considered. Likelihood ratio test procedures, for three hypotheses about "parallelism", "level hypothesis" and "no condition variation", are given. Data on sweet corn cutting process are analysed for unit electrical energy consumption (kWh/cob) and weight percentage of kernels cut off (%). As profiles assume linear velocities of cob feeder.
REFERENCES (11)
1.
Brecht J.K.: Fresh cut sweet corn kernels. Citrus and Vegetable Magazine, 63(7), 36-37, 1998.
 
2.
Feibert, E., Shock, F. 1996. Supersweet corn and sweet corn variety evaluations, Malheur Experiment Station, Oregon State University Ontario, Oregon, 34.
 
3.
Greenhouse, S. W., Geisser, S. 1959, On methods in the analysis of profile data. Psychometrika 24, 95-112.
 
4.
Hanna, H. Y., Story, R. N., Adams, A. J. 1988. Effects of sweet corn production practices on yield and other characteristics. ASHS-SR Meeting, New Orleans, LA, Feb. HortScience 23(5), 824.
 
5.
Morrison, D. F. 1967. Multivariate Statistical Methods. McGraw-Hill.
 
6.
Srivastava, M. S. 1987. Profile analysis of several groups. Commun. Statist.-Theory Meth., 16(3), 909-926.
 
7.
Srivastava, M.S. 2002. Methods of Multivariate Statistics. Wiley-Interscience.
 
8.
Szymanek M., Dobrzański B., Niedziółka I., Rybczyński R.: Sweet Corn – Harvest and technology, physical properties and quality. Lublin: Wyd. Naukowe FRNA, 2005. ISBN 83-89969-05-X.
 
9.
Waligóra H. 2006. Zbiór i wykorzystanie kukurydzy cukrowej. Kukurydza. Nr 2(28). s. 26-27.
 
10.
Warzecha R., Nosecka B. 2007. Kukurydza cukrowa. Agro Serwis. Nr 4 (355). s. 31.
 
11.
Wong, A. D., Juvik, J. A., Breeden, D. C, Swiader, J. M. 1994. Shrunken2 sweet corn yield and the chemical components of quality, Journal of the American Society for Horticultural Science 119(4), 747-755.
 
eISSN:2719-423X
ISSN:1642-686X
Journals System - logo
Scroll to top