Agro Product Detection and Counting

Authors

  • 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

Keywords:

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

Abstract

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.

References

  1. Dor Oppemheim, Yael Edan, Guy Shami, "Detecting tomato flowers in green house using computer vision", World Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering Vol:11, No:1, 2017.
  2. Deepika Bairawa,Gaurav Sharma,"Classification of fruits on te shape,color and texture",International Journal of Engineering Rsearch and Technology(IJERT),Vol.6,Issue 12,December-2017.
  3. A.R.Jimenez, R.Ceres,J.L.Pons,"A Survey of Computer Vision Methods for Locating Fruit on Trees", Instituto de Automatica Industrial (CSIC), Vol. 43(6): 1911-1920, 2000.
  4. L.S. Vishnu Sai Rao , Saurabh Kataria Department of Electrical Engineering,"Object Recognition snd object counting using CNN",IIT Kanpur
  5. Wenhua Mao , Baoping Jia , Xiaochao Zhang , Xiaoan Hub,"Detection and position of apple tree image",
  6. B. Dhananjaya, (2015)," Moving Object detection in videos for object extraction and tracking in UAV Applications", International Journal of Computer Applications.
  7. https://ieeexplore.ieee.org.document/4566268
  8. OpenCV "Cascade Classifier Training –OpenCV2.4.9.0documentation," http://docs.opencv.org/doc/user_guide/ug_traincascade.html
  9. https://stackoverflow.com/questions/19286273/count-objects-in-video.

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Aklesh Sakunia, Yogesh Tandulkar, Vinay Chopkar, Aditya Raut, Atharva Yogi, Prof. Rashmi Jain, Prof. Shilpa Katre, " Agro Product Detection and Counting, IInternational 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.