UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2305215


Registration ID:
514778

Page Number

c83-c87

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Title

Plant Pathometry Detection

Abstract

Detecting and controlling plant diseases requires the use of plant pathometry. In order to evaluate the severity and course of pathogen-induced damage on plants, a variety of methodologies and tools are used. For the purpose of reducing crop losses and guaranteeing food security, reliable and prompt plant disease identification is essential. Recent technological developments have produced more effective and precise plant pathometry detection techniques, like. An overview of the significance of plant pathometry detection, the state of the art in detection techniques, and the possibilities for further developments in the field are given in this abstract.. The ability to identify disease-causing chemicals and their effects on plant health makes it a crucial step in the management of plant diseases. It’s essential to accurately detect plant diseases in order to reduce crop losses and ensure food security. Therefore, the development of effective plant pathometry detection methods is crucial. A possible method for detecting plant pathometry is image analysis. It entails looking for disease symptoms in photographs of plant tissues using computer vision techniques. This method is appropriate for high-throughput screening of numerous plants since it can deliver precise and objective measures of disease severity.Despite improvements in plant pathometry detecting methods, difficulties still exist. These include the need for efficient, affordable, and user-friendly disease detection techniques. The creation of stronger, more precise tools for detecting newly emerging plant diseases is also necessary. To sum up, plant pathometry detection is a critical step in locating and controlling plant diseases. Plant pathogens can be found using a variety of methods. In order to ensure food security and increase agricultural yields, it will be essential to create more effective and precise plant pathometry detection systems.

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"Plant Pathometry Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.c83-c87, May-2023, Available :http://www.jetir.org/papers/JETIR2305215.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

"Plant Pathometry Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppc83-c87, May-2023, Available at : http://www.jetir.org/papers/JETIR2305215.pdf

Publication Details

Published Paper ID: JETIR2305215
Registration ID: 514778
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: c83-c87
Country: Bengaluru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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