UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2007159


Registration ID:
235208

Page Number

1318-1321

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Title

Weed Classification Using Convolution Neural Networks

Abstract

Farmers have a significant role in the society. They provide us food for survival and so it is a necessity for all of them on this planet. Their survival depends on the yield produced while most of their hard work is going in vain because of the growth of weeds in the place of crops. Therefore, it is necessary to ensure that the fields are free from weeds. Weed classification focuses on separating weeds from crops with the use of convolution neural network algorithm which predicts the name of the weed and outputs an audio file as per the language of the user using Google Text-to-speech Application Program Interface.

Key Words

Weed classification, Convolution Neural Network, gTTs

Cite This Article

"Weed Classification Using Convolution Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1318-1321, July-2020, Available :http://www.jetir.org/papers/JETIR2007159.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Weed Classification Using Convolution Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1318-1321, July-2020, Available at : http://www.jetir.org/papers/JETIR2007159.pdf

Publication Details

Published Paper ID: JETIR2007159
Registration ID: 235208
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 1318-1321
Country: Secunderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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