Paper Title : Image Processing Based On Tree Fruit Identification And Counting System

ISSN : 2394-2231
Year of Publication : 2020

10.29126/23942231/IJCT-V7I2P7

Authors: Mr. C. Mani, M C A, M Phil, Mr. S. Easwar, M C A

         



MLA Style: Mr. C. Mani, M C A, M Phil, Mr. S. Easwar, M C A, "Image Processing Based On Tree Fruit Identification And Counting System" Volume 7 - Issue 2 March - April,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: Mr. C. Mani, M C A, M Phil, Mr. S. Easwar, M C A, "Image Processing Based On Tree Fruit Identification And Counting System" Volume 7 - Issue 2 March - April,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
The main objective of this project is to identify the fruits on tree from given input image. Here the K-means algorithm plays an important role to identify the fruits. In current system on tree fruits are found if the full part of fruit present in an input image otherwise it will miss the fruit to identity and count. But here the code has been developed to find all the fruits present in an image that may be fulfilled or half shaped. The harvesting robots play a vital role in agriculture. The first major process of a harvesting robot is to distinguish and focus the fruit on the tree. The K-means algorithm is one of the Machine learning algorithms which can be used in fruit recognition system. This project aims to develop a machine vision system with K-means clustering algorithm to locate the on tree fruits, which can be implemented in a harvesting robot. The fruits on tree are detected using K-means based segmentation methods then the results of count and identification is found to be accurate. Digitized images of on tree fruits along with its background are selected from the Google Images in order to find a fruits in each image and to locate its exact position and providing proper count of fruits.

Reference
[1] Fruits and vegetables quality evaluation using computer vision: A review Anuja Bhargava, Atul Bansal [2] Fruit Detection using Improved Multiple Features based AlgorithmHetal N. Patel, Dr. R.K.Jain, Dr. M.V.Joshi. [3] Summary on fruit identification methods: A literature review: Fangyuan Liu, Leonid, Dimas Lima [4] Automatic Fruit Image Recognition System Based on Shape and Color Features: Hossam M.Zawbaa, Mona Abbass,Maryam Hazman and Aboul Ella Hassenian [5] Automatic Fruit Image Recognition System Based on Shape and Color Features: Hossam M. Zawbaa, Mona Abbass,Maryam Hazman and Aboul Ella Hassenian

Keywords
Algorithm, fruit recognition, Images, Identification.