Apple Fruit Quality Identification using Clustering
An apples a day keeps doctor away" this proverb gives us important of apple in our healthy life. Apples fruit is consist of plenty of nutrition's therefore, doctors are always prefer to advice to eat the apple in most of the diseases. Hence, there is a huge demand of apples in market. To fulfill this demands suppliers need to provide the good quality fruit. There is a need of quality fruits in market. In this work studied various types of apples quality by using clustering approach. Comparative analysis is performed and given results are much better as compare to earlier work.
 F. Vesali, M. Gharibkhani, and M. H. Komarizadeh, “An approach to estimate moisture content of apple with image processing method,” Aust. J. Crop Sci., vol. 5, no. 2, pp. 111–115, 2011.
 Y. Al Ohali, “Computer vision based date fruit grading system: Design and implementation,” J. King Saud Univ. - Comput. Inf. Sci., vol. 23, no. 1, pp. 29–36, 2011.
 S. Cubero, N. Aleixos, E. Moltó, J. Gómez-Sanchis, and J. Blasco, “Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables,” Food Bioprocess Technol., vol. 4, no. 4, pp. 487–504, 2011.
 J. N. Quinton, Encyclopedia of Agrophysics, vol. 32, no. 3. Springer, 2011.
 J. A. Abbott, “Quality measurement of fruits and vegetables,” Postharvest Biol. Technol., vol. 15, pp. 207–225, 1999.
 D. M. Barrett, J. C. Beaulieu, and R. Shewfelt, “Color, flavor, texture, and nutritional quality of fresh-cut fruits and vegetables: Desirable levels, instrumental and sensory measurement, and the effects of processing,” Crit. Rev. Food Sci. Nutr., vol. 50, no. 5, pp. 369–389, 2010.
 W. J. Florkowski, S. E. Prussia, and R. L. Shewfelt, Integrated view of fruit & vegetable quality. 2018.
 R. L. Shewfelt and Bernhard Briickner, Fruit and Vegetable Quality An Integrated View. CRC Press, Taylor & Francis Group, 2000.
 Z. Xiaobo, Z. Jiewen, and L. Yanxiao, “Apple color grading based on organization feature parameters,” Pattern Recognit. Lett., vol. 28, no. 15, pp. 2046–2053, 2007.
 G. Dong and M. Xie, “Color clustering and learning for image segmentation based on neural networks,” IEEE Trans. Neural Networks, vol. 16, no. 4, pp. 925–936, 2005.
 D. P. Ariana and R. Lu, “Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging,” J. Food Eng., vol. 96, no. 4, pp. 583–590, 2010.
 P. Gay, R. Berruto, and P. Piccarolo, “Fruit Color Assessment for Quality Grading Purposes,” 2002 ASAE Annu. Int. Meet. CIGR XVth World Congr., vol. 0300, no. 02, pp. 1–9, 2002.
 N. D. and S. G. Audrey Darrigues, Jack Hall, Esther van der Knaap, and David M. Francis, “Tomato Analyzer-color Test: A New Tool for Efficient Digital Phenotyping,” J. Am. Soc. Hortic. Sci., vol. 133, no. 4, pp. 579–586, 2008.
 S. V Phakade, D. Flora, H. Malashree, and J. Rashmi, “Automatic Fruit Defect Detection Using HSV and RGB Color Space Model,” Int. J. Innov. Res. Comput. Sci. Technol., vol. 2, no. 3, pp. 67–73, 2014.
 H. D. Cheng, X. H. Jiang, Y. Sun, and J. Wang, “Color image segmentation: Advances and prospects,” Pattern Recognit., vol. 34, no. 12, pp. 2259–2281, 2001.
 G. Rosman, X. C. Tai, L. Dascal, and R. Kimmel, “Polyakov action minimization for efficient color image processing,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 6554 LNCS, no. PART 2, pp. 50–61, 2012.
 H. Li, W. S. Lee, and K. Wang, “Identifying blueberry fruit of different growth stages using natural outdoor color images,” Comput. Electron. Agric., vol. 106, pp. 91–101, 2014.
 P. Deepa and S. N. Geethalakshmi, “A Comparative Analysis of Watershed and Color based segmentation for Fruit Grading,” Int. J. Soft Comput. Eng., vol. 2, no. 3, pp. 11–15, 2012.
 R. P. Krishnan, S. Sofiah, and M. Radzi, “Color Recognition Algorithm using a Neural Network Model in Determining the Ripeness of a Banana,” System, no. October, pp. 11–13, 2009.
 W. Castro, J. Oblitas, M. De-La-Torre, C. Cotrina, K. Bazan, and H. Avila-George, “Classification of Cape Gooseberry Fruit According to its Level of Ripeness Using Machine Learning Techniques and Different Color Spaces,” IEEE Access, vol. 7, pp. 27389–27400, 2019.
 J. Li et al., “Multispectral detection of skin defects of bi-colored peaches based on vis-NIR hyperspectral imaging,” Postharvest Biol. Technol., vol. 112, no. October, pp. 121–133, 2016.
 J. Tow and J. Katupitiya, “On-tree fruit recognition using texture properties and color data,” 2005 IEEE/RSJ Int. Conf. Intell. Robot. Syst. IROS, pp. 3993–3998, 2005.
To ensure uniformity of treatment among all contributors, other forms may not be substituted for this form, nor may any wording of the form be changed. This form is intended for original material submitted to AJCT and must accompany any such material in order to be published by AJCT. Please read the form carefully.
The undersigned hereby assigns to the Asian Journal of Convergence in Technology Issues ("AJCT") all rights under copyright that may exist in and to the above Work, any revised or expanded derivative works submitted to AJCT by the undersigned based on the Work, and any associated written, audio and/or visual presentations or other enhancements accompanying the Work. The undersigned hereby warrants that the Work is original and that he/she is the author of the Work; to the extent the Work incorporates text passages, figures, data or other material from the works of others, the undersigned has obtained any necessary permission. See Retained Rights, below.
AJCT distributes its technical publications throughout the world and wants to ensure that the material submitted to its publications is properly available to the readership of those publications. Authors must ensure that The Work is their own and is original. It is the responsibility of the authors, not AJCT, to determine whether disclosure of their material requires the prior consent of other parties and, if so, to obtain it.
RETAINED RIGHTS/TERMS AND CONDITIONS
1. Authors/employers retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors/employers may reproduce or authorize others to reproduce The Work and for the author's personal use or for company or organizational use, provided that the source and any AJCT copyright notice are indicated, the copies are not used in any way that implies AJCT endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Authors/employers may make limited distribution of all or portions of the Work prior to publication if they inform AJCT in advance of the nature and extent of such limited distribution.
4. For all uses not covered by items 2 and 3, authors/employers must request permission from AJCT.
5. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
INFORMATION FOR AUTHORS
AJCT Copyright Ownership
It is the formal policy of AJCT to own the copyrights to all copyrightable material in its technical publications and to the individual contributions contained therein, in order to protect the interests of AJCT, its authors and their employers, and, at the same time, to facilitate the appropriate re-use of this material by others.
If you are employed and prepared the Work on a subject within the scope of your employment, the copyright in the Work belongs to your employer as a work-for-hire. In that case, AJCT assumes that when you sign this Form, you are authorized to do so by your employer and that your employer has consented to the transfer of copyright, to the representation and warranty of publication rights, and to all other terms and conditions of this Form. If such authorization and consent has not been given to you, an authorized representative of your employer should sign this Form as the Author.
AJCT requires that the consent of the first-named author and employer be sought as a condition to granting reprint or republication rights to others or for permitting use of a Work for promotion or marketing purposes.
1. The undersigned represents that he/she has the power and authority to make and execute this assignment.
2. The undersigned agrees to indemnify and hold harmless AJCT from any damage or expense that may arise in the event of a breach of any of the warranties set forth above.
3. In the event the above work is accepted and published by AJCT and consequently withdrawn by the author(s), the foregoing copyright transfer shall become null and void and all materials embodying the Work submitted to AJCT will be destroyed.
4. For jointly authored Works, all joint authors should sign, or one of the authors should sign as authorized agent
for the others.
Licenced by :