World Academy of Science, Engineering and Technology
Published June 25, 2013 | Version 11742
Journal article Open

Pineapple Maturity Recognition Using RGB Extraction

Authors/Creators

Description

Pineapples can be classified using an index with seven levels of maturity based on the green and yellow color of the skin. As the pineapple ripens, the skin will change from pale green to a golden or yellowish color. The issues that occur in agriculture nowadays are to do with farmers being unable to distinguish between the indexes of pineapple maturity correctly and effectively. There are several reasons for why farmers cannot properly follow the guideline provide by Federal Agriculture Marketing Authority (FAMA) and one of reason is that due to manual inspection done by experts, there are no specific and universal guidelines to be adopted by farmers due to the different points of view of the experts when sorting the pineapples based on their knowledge and experience. Therefore, an automatic system will help farmers to identify pineapple maturity effectively and will become a universal indicator to farmers.

Files

11742.pdf

Files (347.1 kB)

Name Size Download all
md5:a788aba5f9205a2dddad7dbee50f5ba8
347.1 kB Preview Download

Additional details

References

  • P. B. Van, J. Ceusters, M.P. Proft , Determination of Pineapple (Ananas comosus, MD-2 hybrid cultivar) Plant Maturity, the Efficiency of Flowering Induction Agents and the Use of Activated Carbon. Scientia Horticulturae vol. 120, 2009 , pp. 58-63.
  • S. Rosnah, R. W. D. Wan, S. T. Mohammad, H. Osman, Chemical Compositions And Thermal Properties Of The Josapine Variety Of Pineapple Fruit (Ananas Comosus L.) in Different Storage Systems. Journal of Food Process Engineering Vol. 34, Issue 5,2009, pp. 1558- 1572.
  • E. Blotta ,A. Bouchet, V. Ballarin, J. Pastore , Enhancement of Medical Images In HSI Color Space. Journal of Physics : Conference Series 332, 2011 , pp. 1-4.
  • H. Keqian, X. Hanbing, W. Junning, Z. Lubin, H. Huigang, J. Zhiwei , G. Hui, H. Quanguang, G. Deqiang, Quality Changes And Internal Browning Developments of Summer Pineapple Fruit During Storage at Different Temperature. Scientia Horticulturae 151, 2013.
  • F. S. Ramon, C. G. Antonio, P. F. F. Hugo, L. D. V. L├¡rio, A. S. Douglas, P. G. Miguel, Nodule Cluster Cultures and Temporary Immersion Bioreactors as a High Performance Micropropagation Strategy in Pineapple (Ananas Comosus Var. Comosus). Scientia Horticulturae 151, 2013.
  • A. N. F. Fabiano, E. L. Jr. Francisco, R. Sueli, Ultrasound as Pre- Treatment for Drying of Pineapple. Ultrasonics Sonochemistry vol. 15, 2008.
  • L.A. Ramallo , R.H. Mascheroni, Quality Evaluation of Pineapple Fruit During Drying Process. Food And Bioproducts Processing vol. 90,2012.
  • J. A. T. Pennington, R. A. Fisher, Classification of Fruits and Vegetables. Journal of Food Composition and Analysis 22S,2009.
  • M.Z. Abdullah, L.C. Guan, K.C. Lim, A.A. Karim ,The Applications of Computer Vision System and Tomographic Radar Imaging for Assessing Physical Properties of Food. Journal of Food Engineering vol. 61, 2004. [10] H.D. Cheng, X.H. Jiang, Y. Sun, Jingli Wang, Color Image Segmentation: Advances and Prospects. Pattern Recognition vol. 34,2001. [11] M.Z. Abdullah, L.C. Guan, B.M.N. Mohd Azemi, Stepwise Discriminant Analysis for Colour Grading of Oil Palm Using Machine Vision System. Institution of Chemical Engineers vol. 79 2001.