z-logo
open-access-imgOpen Access
On-Tree Detection and Counting of Mature and Immature Fruit of Carica Papaya using Image Processing Technique
Author(s) -
Prabira Kumar,
Shwetapadma Panda,
Nilamani Bhoi
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016912487
Subject(s) - carica , computer science , tree (set theory) , image processing , fruit tree , horticulture , artificial intelligence , image (mathematics) , biology , mathematics , mathematical analysis
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom