UGC Approved Journal no 63975(19)

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

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFT06018


Registration ID:
501870

Page Number

85-90

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Title

An Analysis of Advanced Techniques for Detecting Plant Diseases

Abstract

Infections in plants generate significant productivity and economic losses in agricultural sector globally. Monitoring of health and identification of illnesses in plants and trees is important for sustainable agriculture. Towards the best of the knowledge, there's really no sensor commonly produced for real-time evaluation of health problems in trees. Nowadays, scouting is most frequently used method for measuring stress in trees, which is a costly, labor-intensive, and time-consuming procedure. Molecular methods also including polymerase chain reaction are utilized for the detection of plant diseases that need thorough sample and processing processes. Early knowledge on crop health and disease detection may assist the treatment of diseases via appropriate management methods such as vector control through pesticide applications, fungicide applications, and disease-specific chemical applications; and can increase production. The current study acknowledges the necessity for creating a fast, cost-effective, and reliable health monitoring sensor that would enable advances in agriculture. It covers the presently utilized technologies that may be used for creating a ground-based sensor system to help in monitoring health and illnesses in plants under field circumstances. Several methods encompass spectroscopic and image based, and volatile profiling-based plant disease detection techniques. The article examines the advantages and drawbacks of various possible approaches.

Key Words

Advanced, Diseases, Detection, Health, Plant.

Cite This Article

"An Analysis of Advanced Techniques for Detecting Plant Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.85-90, March-2019, Available :http://www.jetir.org/papers/JETIRFT06018.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

"An Analysis of Advanced Techniques for Detecting Plant Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp85-90, March-2019, Available at : http://www.jetir.org/papers/JETIRFT06018.pdf

Publication Details

Published Paper ID: JETIRFT06018
Registration ID: 501870
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 85-90
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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