Computer Vision Based Classification of Indian Gujarat-17 Rice Using Geometrical Features and Cart

  • Chetna V. Maheshwari
  • Niky K. Jain
  • Samrat Khanna
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)


Agricultural production has to be kept up with an ever-increasing population demand which is an important issue in recent years. The paper presents a solution for quality evaluation, grading and classification of INDIAN Gujarat-17 Rice using Computer Vision and image processing. In this paper basic problem of rice industry for quality assessment is defined and Computer Vision provides one alternative for an automated, non-destructive and cost-effective technique. In this paper we quantify the quality of ORYZA SATIVA SSP Indica (Gujarat-17) based on features which affect the quality of the rice. Based on these features CART (Classification and Regression Tree Analysis) is being proposed to evaluate the rice quality.


Machine vision Combined parameters Oryza sativa SSP indica Mining techniques, CART 



The author expresses their gratitude to Mr. H.N. Shah the owner of Shri Krishna Rice and Pulse Mill, Borsad for the system model as per the requirements desired by the image processing group.


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Copyright information

© Springer India 2015

Authors and Affiliations

  • Chetna V. Maheshwari
    • 1
  • Niky K. Jain
    • 2
  • Samrat Khanna
    • 2
  1. 1.G.H. Patel College of Engineering and TechnologyV.V. NagarIndia
  2. 2.ISTARV.V. NagarIndia

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