Agro Product Detection and Counting

Authors(7) :-Aklesh Sakunia, Yogesh Tandulkar, Vinay Chopkar, Aditya Raut, Atharva Yogi, Prof. Rashmi Jain, Prof. Shilpa Katre

Object identification in digital image is the most important application that saves time and increases productivity. Various Techniques have been developed but improvements are still required in order to achieve the targeted precision.This paper focuses on methods for detecting fruits from a tree. The techniques used are such as edge detection and color filtering to eliminate the irrelevant color or object from the image. Besides that, shape detection is used where it will use Circular Hough Transform (CHT), Haar cascade. This technique will determine the candidates of fruits. The program should automatically detect the desired object and provide a statistical analysis of it.

Authors and Affiliations

Aklesh Sakunia
BE Scholars, Department of Computer Science and Engineering Rajiv Gandhi College of Engineering and Research, Hingna Road, Wanadongri, Nagpur, Maharashtra, India
Yogesh Tandulkar
BE Scholars, Department of Computer Science and Engineering Rajiv Gandhi College of Engineering and Research, Hingna Road, Wanadongri, Nagpur, Maharashtra, India
Vinay Chopkar
BE Scholars, Department of Computer Science and Engineering Rajiv Gandhi College of Engineering and Research, Hingna Road, Wanadongri, Nagpur, Maharashtra, India
Aditya Raut
BE Scholars, Department of Computer Science and Engineering Rajiv Gandhi College of Engineering and Research, Hingna Road, Wanadongri, Nagpur, Maharashtra, India
Atharva Yogi
BE Scholars, Department of Computer Science and Engineering Rajiv Gandhi College of Engineering and Research, Hingna Road, Wanadongri, Nagpur, Maharashtra, India
Prof. Rashmi Jain
Prof., Department of Computer Science and Engineering Rajiv Gandhi College of Engineering and Research, Hingna Road,Wanadongri, Nagpur, Maharashtra, India
Prof. Shilpa Katre
Prof.,Department of Electronics, Rajiv Gandhi College of Engineering and Research,Hingna Road,Wanadongri, Nagpur, Maharashtra, India

Circular Hough Transform, Object Identification, Object Detection, Digital Image, Haar Cascade Algorithm

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 454-458
Manuscript Number : CSEIT183362
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aklesh Sakunia, Yogesh Tandulkar, Vinay Chopkar, Aditya Raut, Atharva Yogi, Prof. Rashmi Jain, Prof. Shilpa Katre, "Agro Product Detection and Counting", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.454-458, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT183362

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