CFP last date
20 January 2025
Reseach Article

On-Tree Detection and Counting of Mature and Immature Fruit of Carica Papaya using Image Processing Technique

by Prabira Kumar Sethy, Shwetapadma Panda, Nilamani Bhoi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 8
Year of Publication: 2016
Authors: Prabira Kumar Sethy, Shwetapadma Panda, Nilamani Bhoi
10.5120/ijca2016912487

Prabira Kumar Sethy, Shwetapadma Panda, Nilamani Bhoi . On-Tree Detection and Counting of Mature and Immature Fruit of Carica Papaya using Image Processing Technique. International Journal of Computer Applications. 156, 8 ( Dec 2016), 16-21. DOI=10.5120/ijca2016912487

@article{ 10.5120/ijca2016912487,
author = { Prabira Kumar Sethy, Shwetapadma Panda, Nilamani Bhoi },
title = { On-Tree Detection and Counting of Mature and Immature Fruit of Carica Papaya using Image Processing Technique },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 8 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 16-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number8/26729-2016912487/ },
doi = { 10.5120/ijca2016912487 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:03.263071+05:30
%A Prabira Kumar Sethy
%A Shwetapadma Panda
%A Nilamani Bhoi
%T On-Tree Detection and Counting of Mature and Immature Fruit of Carica Papaya using Image Processing Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 8
%P 16-21
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Papaya (Carica papaya) is a tropical fruit having profitable importance because of its high nutritive and medicinal value. India leads the world in papaya production with an annual yield of about 3 million tons [1]. Before collection of these fruits are graded according to their maturity. The major parameter which is differentiating between mature and immature fruit is its color. And also by counting individually mature and immature fruit which implies knowledge about the productivity of the plant. Image analysis is a technique to count the number of fruits on-Tree. In this paper, we present a method for detecting and counting mature and immature fruits from images taken with a tree. We have demonstrated that the proposed method is able to achieve an accuracy of 89.18% and 100% for detecting as well as counting of immature and mature fruit respectively.

References
  1. Horticultural statistics at a Glance 2015-Published in India by Oxford University Press, New Delhi,Ministry of Agriculture and farmers Welfare, Government of India 2016.
  2. Jaime A. Teixeira da Silva et al, “Papaya(Carica papaya L.)Biology and biotechnology”,Tree and Forestry science and biotechnology @2007 Global science books.
  3. Y. Song et al. “Automatic fruit recognition and counting from multiple images”,bios stems engineering 118(2014)203e2 15.
  4. Bulanon,Kataoka, T., (2002), “A segmentation algorithm for the automatic recognition of Fuji apples at harvest”, Biosystems Engineering, 83(4), 405e412.
  5. Stajnko, D., Lakota & Hocevar, M.(2004),“Estimation of number and diameter of apple fruits in an orchard during the growing season by thermal imaging”, Computers and Electronics in Agriculture, 42(1), 31e42.
  6. Jimenez, A., Jain, A., Ceres, R., & Pons, J. (1999),“Automatic fruit Recognition”, a survey and new results using range/attenuationImages. Pattern Recognition, 32(10), 1719e1736.
  7. Zhao, J., Tow, J., & Katupitiya, J. (2005), “On- tree fruit recognitionUsing texture properties and color data”, In InternationalConference on intelligent robots and systems (pp. 263e268).
  8. Yang, L., Dickinson, J., Wu, Q., & Lang, S. (2007), “A fruit recognition method for automatic harvesting”, In 14th International conference on mechatronics and machine vision inPractice (pp. 152e157).
  9. Kitamura, S., & Oka, K. (2005), “Recognition and cutting system ofSweet pepper for picking robot in greenhouse horticulture”, In IEEEInternational conference on mechatronics and automation (Vol. 4);(pp. 1807e1812).
  10. Chinchuluun and Lee (2006)., “Detection of dropped citrus fruit on the ground and evaluation of decay stages in varying illumination conditions”,Computers and Electronics in AgricultureVolume 127, September 2016.
  11. Kane and Lee (2006). “Multispectral Imaging for In-field green citrus identification”, Agricultural and biological engineering, university of Florida, Gainesville.
Index Terms

Computer Science
Information Sciences

Keywords

Fruit counting Carica Papaya Randomized Hough Transform Texture Analysis K-means Clustering Erosion & Dilation