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Overlapped Sunflower Weighted Crop Yield Estimation Based on Edge Detection

  • Hemant RathoreEmail author
  • Vijay Kumar Sharma
  • Shubhra Chaturvedi
  • Kapil Dev Sharma
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 955)

Abstract

Today agriculture field’s demands to develop such an intelligent system those provide accurate and timely information for an estimation of crop productivity. This paper designed an automated decision support system to estimate sunflower crop productivity information with interface between camera and computer software. The earlier steps of system generate overlapped flower yield information and latter steps count the seed from the flower head. Some beautiful flowers in the nature have Fibonacci relationship in their seeds pattern, i.e. sunflower, pineapple etc. The implementation parts based on two color model RGB and HSV. HSV provide better results for overlapped flower. The technique use image segmentation, morphological operation for overlapped flower count and edge detection for seed count.

Keywords

Edge detection Morphological operation Segmentation Filters 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Hemant Rathore
    • 1
    Email author
  • Vijay Kumar Sharma
    • 1
  • Shubhra Chaturvedi
    • 2
  • Kapil Dev Sharma
    • 1
  1. 1.Department of Computer Science and EngineeringRajasthan Institute of Engineering and TechnologyJaipurIndia
  2. 2.Department of BotanyGovernment College MalpuraTonkIndia

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