UGC Approved Journal no 63975(19)

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2107130


Registration ID:
311836

Page Number

b17-b20

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Title

IDENTIFICATION OF CROP HEALTH USING NEURAL NETWORK

Abstract

In this paper, we have done surveys on DL raspberry pi techniques to detect these diseases. During this paper, we've planned a system using raspberry pi to find healthy and unhealthy plants. We've got used a tensor flow tool for numerical computation. It is often utilized in Associate in Nursing controlled atmosphere farms such it detects the signs of malady whenever they seem on the leaves of the plant.

Key Words

Convolutional Neural Network (CNN), Deep learning, leaf dataset, Epochs, Hidden Layers, Tensorflow ,Keras , Raspberry Pi, Pi Camera.

Cite This Article

"IDENTIFICATION OF CROP HEALTH USING NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b17-b20, July-2021, Available :http://www.jetir.org/papers/JETIR2107130.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

"IDENTIFICATION OF CROP HEALTH USING NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb17-b20, July-2021, Available at : http://www.jetir.org/papers/JETIR2107130.pdf

Publication Details

Published Paper ID: JETIR2107130
Registration ID: 311836
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: b17-b20
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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