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Published in:

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

Unique Identifier

JETIR1812B08

Page Number

48-53

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Title

IoT BASED PLANT DISEASE IDENTIFICATION USING RASPBERRY PI

ISSN

2349-5162

Cite This Article

"IoT BASED PLANT DISEASE IDENTIFICATION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.48-53, December-2018, Available :http://www.jetir.org/papers/JETIR1812B08.pdf

Abstract

For the acknowledgment and aversion of disease of plants from getting spread, this paper discussed a system using raspberry PI. For the image examination, the k-suggests gathering count was used. It has various positive conditions for the use in colossal farms of yields and thusly it subsequently perceives signs of affliction at whatever point they appear on leaves of the plant. In pharmaceutical research of leaf ailment ID is basic and essential subject for research since it has points of interest in observing harvests in field at the casing and as such it subsequently recognize appearances of disease by picture taking care of by k-infers grouping computation. The term disease suggests the kind of mischief to the plants. This paper gives the best method to area of plant contaminations using picture getting ready and forewarning about the disease caused by sending email, SMS moreover, demonstrating the name of the disease on the screen show of the proprietor of the system. To refresh provincial things, customized area of contamination indications is profitable. The arrangement and utilization of these developments which is completely customized and it will essentially help in the invention application. It will reduce the cost required for the pesticides and diverse products. This will incite increment in effectiveness of the developing.

Key Words

Image Processing, Raspberry Pi, IoT, CNN Algorithm, Python

Cite This Article

"IoT BASED PLANT DISEASE IDENTIFICATION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp48-53, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B08.pdf

Publication Details

Published Paper ID: JETIR1812B08
Registration ID: 194211
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 48-53
ISSN Number: 2349-5162

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Cite This Article

"IoT BASED PLANT DISEASE IDENTIFICATION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp48-53, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B08.pdf




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