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Agro Product Detection and Counting

Author

Listed:
  • Aklesh Sakunia
  • Yogesh Tandulkar
  • Vinay Chopkar
  • Aditya Raut
  • Atharva Yogi
  • Rashmi Jain
  • Shilpa Katre

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.

Suggested Citation

  • Aklesh Sakunia & Yogesh Tandulkar & Vinay Chopkar & Aditya Raut & Atharva Yogi & Rashmi Jain & Shilpa Katre, 2018. "Agro Product Detection and Counting," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 454-458, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit183362
    Note: Article URL: https://ijsrcseit.com/CSEIT183362
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