Implementation of Image Processing Technique's for Weed Detection and Discrimination in Groundnut Crop Field

Authors(3) :-Senthilkumar K, Parthiban A, Sudhashree T

This paper presents the development of image processing system for identification and classification of weeds in groundnut crop field. Various shape features were analysed and obtained from the crop/weed images. In order to classify a plant as a weed or crop various features such as shape, colour and texture are extracted. In this method pattern matching technique based on pyramidal matching is utilized to make out the decision whether the plant is crop or weed. Using this pattern matching method the successful recognition rate was 90% for groundnut crop and 85% for weeds.

Authors and Affiliations

Senthilkumar K
Department of Mechatronics Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamilnadu, India
Parthiban A
Department of Mechatronics Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamilnadu, India
Sudhashree T
Department of Mechatronics Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamilnadu, India

Weed/Crop Classification, Precision Agriculture, Image Processing, Machine Vision

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 312-316
Manuscript Number : IJSRSET173899
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Senthilkumar K, Parthiban A, Sudhashree T, " Implementation of Image Processing Technique's for Weed Detection and Discrimination in Groundnut Crop Field, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.312-316, November-December-2017.
Journal URL : http://ijsrset.com/IJSRSET173899

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