Paper Title

Advancements in Plant Disease Detection Techniques: A Comprehensive Review and Potential Model

Article Identifiers

Registration ID: IJNRD_194941

Published ID: IJNRD2305292

DOI: http://doi.one/10.1729/Journal.34153

Authors

Srikant Singh, , Nidhi Parmar

Keywords

Plant Diseases, Detection Techniques, Visual Inspection, Laboratory Analysis, Remote Sensing, Machine Learning, Early Detection, Sustainable Agriculture.

Abstract

Plant diseases can cause significant economic losses and threaten food security worldwide. Early detection is key to preventing the spread of disease and mitigating its impact, but traditional detection methods can be time-consuming and labour-intensive. Fortunately, recent advancements in technology have led to the development of new, more efficient techniques for detecting plant diseases. In this article, we provide a comprehensive review of these techniques, including visual inspection, laboratory analysis, remote sensing, and machine learning. We discuss the benefits and drawbacks of each method, as well as their potential applications in different agricultural settings. We also examine the importance of early detection and the role that disease detection plays in sustainable agriculture. By exploring these advancements in plant disease detection, we hope to provide a better understanding of the challenges facing the agricultural industry and the potential solutions available to address them.

How To Cite

"Advancements in Plant Disease Detection Techniques: A Comprehensive Review and Potential Model", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c719-c725, May-2023, Available :https://ijnrd.org/papers/IJNRD2305292.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : c719-c725

Other Publication Details

Paper Reg. ID: IJNRD_194941

Published Paper Id: IJNRD2305292

Downloads: 000121240

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305292.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305292

DOI: http://doi.one/10.1729/Journal.34153

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area