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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812C28

Page Number

198-201

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Title

POINT FEATURE MATCHING BASED SURF FEATURE EXTRACTION FOR THE DETECTION CORN AND WEED PLANTS IN CROP FIELD

ISSN

2349-5162

Cite This Article

"POINT FEATURE MATCHING BASED SURF FEATURE EXTRACTION FOR THE DETECTION CORN AND WEED PLANTS IN CROP FIELD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.198-201, December-2018, Available :http://www.jetir.org/papers/JETIR1812C28.pdf

Abstract

This paper proposes a new image processing technique for automatic identification of weed and crop plants in agriculture field. In digital image processing, image matching is one of the primary areas which include object detection and recognition. In this research work point feature matching based on SURF method is used to detect and recognize crop and weed plants. The proposed method is based on comparing and analyzes the points of interest between the reference image and sample image.

Key Words

Weed detection, SURF features, Image matching, Precision Agriculture

Cite This Article

"POINT FEATURE MATCHING BASED SURF FEATURE EXTRACTION FOR THE DETECTION CORN AND WEED PLANTS IN CROP FIELD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp198-201, December-2018, Available at : http://www.jetir.org/papers/JETIR1812C28.pdf

Publication Details

Published Paper ID: JETIR1812C28
Registration ID: 193691
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 198-201
ISSN Number: 2349-5162

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Cite This Article

"POINT FEATURE MATCHING BASED SURF FEATURE EXTRACTION FOR THE DETECTION CORN AND WEED PLANTS IN CROP FIELD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp198-201, December-2018, Available at : http://www.jetir.org/papers/JETIR1812C28.pdf




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