Asian Journal of Multidimensional Research (AJMR)
  • Year: 2018
  • Volume: 7
  • Issue: 8

Quantification of rice chalkiness using image processing

  • Author:
  • Prabira Kumar Sethy1, Nalini Kanta Barpanda2, Amiya Kumar Rath3
  • Total Page Count: 7
  • Page Number: 74 to 80

1Assistant Professor, Department of Electronics, Sambalpur University, Jyoti Vihar, Burla, Odisha, India. Email id: prabirasethy@suniv.ac.in

2Reader, Department of Computer Science and Engineering, VSSUT, Burla, Odisha, India. Email id: nkbarpanda@suniv.ac.in

3Professor, Vssut, Burla, India. Email id: amiyaamiya@rediffmail.com

Online published on 17 September, 2018.

Abstract

Chalkiness is an important characteristic to investigate the quality of rice. Chalky rice degrades the value of rice because of the undesirable appearance in rice. The chalky ricedeterioratesthe eating quality, as it absorbs water more rapidly during cooking. Traditionally the chalkiness evaluation was performed by expert persons. In this paper, we proposed an automatic evaluation technique for chalkiness and suggested a prototype for classifying the good and bad quality of rice kernel using image processing.

Keywords

Chalkiness, Rice Grading, Image Processing