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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Weed Detection In Plant Images : A Review
Authors
  Kawaljeet kaur,  Navneet kaur Bawa

Abstract
The image processing is widely used area now days in various fields such as Radiology, pattern modeling, education, research etc. The basic approach is to process the pixels containing information in an image. The information stored in the form of pixels can be manipulated to generate the required result. It can be used to detect and diagnose various kinds of diseases in medical imaging. This paper focuses on the weed detection in plant images. There are many approaches to weed detection. In this paper, we will discuss the various detection methods with their pros and cons.

Keywords- Weed Detection, Pattern detection, Classification
Publication Details
Unique Identification Number - IJEDR1903047
Page Number(s) - 277-279
Pubished in - Volume 7 | Issue 3 | July 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Kawaljeet kaur,  Navneet kaur Bawa,   "Weed Detection In Plant Images : A Review", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.277-279, July 2019, Available at :http://www.ijedr.org/papers/IJEDR1903047.pdf
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