Computerized recognition of pineapple grades using physicochemical properties and flicking sounds
Abstract
Keywords: Ananas comosus L., total soluble solid, pH, physiochemical properties, flicking sounds, computerized pineapple grading, non-destructive grading
DOI: 10.3965/j.ijabe.20140703.011
Citation: Phoophuangpairoj R, Srikun N. Computerized recognition of pineapple grades using physicochemical properties and flicking sounds. Int J Agric & Biol Eng, 2014; 7(3): 93-101.
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Food and Agriculture Organization of the United Nation (FAO). Pineapple. 2010; http://faostat.fao.org. Accessed on [2013-08-15].
Paull R E, Chen C-C. Postharvest physiology, handling and storage of pineapple. In: The Pineapple: Botany, Production and Uses. Bartholomew D P, Paull R E, Rohrbach K G (Eds.), CABI, New York, 2003; 253-278.
Pongjanta J, Nualbunruang A, Panchai L. Effect of location and storage time on physicochemical properties of pineapple fruit. Asian Journal Food and Agro-Industry, 2011; 4(3): 153-160.
Smith L G. Indices of physiological maturity and eating quality in smooth cayenne pineapples 1: Indices of physiological maturity, Queensland. Journal of Agriculture Animal Science, 1988; 45: 213-218.
Kader A A. Pineapple: recommendation for maintaining postharvest quality. Agriculture and natural resources, 2013. http://postharvest.ucdavis.edu/PFfruits/Pineapple/. Accessed on [2013-07-20].
Haff R P, Slaughter D C, Sarig Y, Kader A. X-Ray assessment of translucency in pineapple. Journal of Food Processing and Preservation, 2006; 30: 527-533.
Bowden R P. Further studies on ripeness in pineapple. Food Technology Australia, 1969; 21: 160-163.
Chen C C. Effect of fruit temperature, calcium, crown and sugar metabolizing enzymes on the occurrence of pineapple fruit translucency, PhD dissertation. Hawaii: University of Hawaii, 1999.
Chen C C, Paull R E. Sugar metabolism and pineapple flesh translucency. Journal of the American Society for Horticultural Science, 2000; 125(5): 558-562.
Asnor J I, Rosnah S, Wan Z W H, Badrul H A B. Pineapple maturity recognition using RGB extraction. World Academy of Science, Engineering and Technology, 2013; 78: 147-150.
Dole Fruit Hawii. How to select a fresh pineapple, 2013, www.dolefruithawaii.com/Articles.asp?ID=143. Accessed on [2013-07-12].
Kaewapichai W, Kaewtrakulpong P, Prateepasen A, Khongkraphan K. Fitting a pineapple model for automatic maturity grading. Institute of Electrical and Electronics Engineers, 2007; I-257-260.
Zhu L, Seburg R A, Tsai E, Puech S, Mifsud J. Flavor analysis in a pharmaceutical oral solution formulation using an electronic-nose. Journal of Pharmaceutical and Biomedical Analysis, 2004; 34: 453-461.
Anonymous. The Hidden Markov Model Toolkit (HTK). 2013, http://htk.eng.cam.ac.uk/. Accessed on [2013-07-12].
Tangwongsan S, Po-Aramsri P, Phoophuangpairoj R. Highly efficient and effective techniques for Thai syllable speech recognition. Lecture Notes in Computer Sciences, 2004; 3321: 259-270.
Phoophuangpairoj R. Determining guava freshness by flicking signal recognition using HMM Acoustic Models. International Journal of Computer Theory and Engineering, 2013; 5(6): 877-884.
Phoophuangpairoj R. Automated classification of watermelon quality using non-flicking reduction and HMM sequences derived from flicking sound characteristics. Journal of Information Science and Engineering, 2014; 30(4): 1015-1033.
Phoophuangpairoj R. Computerized unripe and ripe durian striking sound recognition using syllable-based HMMs. Applied Mechanics and Materials, 2014; 446-447: 927-935.
Joomwong A. Impact of cropping season in northern Thailand on the quality of smooth cayenne pineapple. II. Influence on physico-chemical attributes. International Journal of Agriculture and Biology, 2006; 8(6): 330-336.
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