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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in September 2026 (Volume 20, Issue 3) Submit manuscript

Modern technologies in the diagnosis and management of plant-pathogenic fungi: From CRISPR to the microbiome and Artificial Intelligence

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  • Modern technologies in the diagnosis and management of plant-pathogenic fungi: From CRISPR to the microbiome and Artificial Intelligence

Intesar Ali Mezeal * and Rand Haider Ali

Department of Biology, College of Science, Mustansiriyah University, Baghdad 10052, Iraq.

Review Article

International Journal of Science and Research Archive, 2026, 20(01), 150–157

Article DOI: 10.30574/ijsra.2026.20.1.1435

DOI url: https://doi.org/10.30574/ijsra.2026.20.1.1435

Received on 26 May 2026; revised on 05 July 2026; accepted on 07 July 2026

Plant-pathogenic fungi still constitute one of the most significant biological constraints on agricultural productivity, food safety, and sustainable agriculture. It has become increasingly challenging to mitigate their effects due to the effects of climatic variability, monoculture, plant material transport across national borders, greenhouse production, fungicide resistance, and others. While classical diagnostics based on symptoms, microscopic observations, isolations, and morphology are still vital in practice, they are often slow and expertise-reliant and fail to provide the necessary early warning. The present review article explores contemporary developments in the diagnostics and management of plant-pathogenic fungi with a particular emphasis on CRISPR-based methods of diagnostics, loop-mediated isothermal amplification (LAMP), portable diagnostics, artificial intelligence (AI), disease suppression via the manipulation of microbiomes, biological control, RNA-based protection of crops, nanotechnology, and integrated disease management. It is concluded that the contemporary management of plant-pathogenic diseases should go beyond the single-method approachCRISPR and LAMP techniques advance pathogen detection during initial stages of infection; artificial intelligence helps with image-assisted disease diagnosis and prediction; microbiome science reveals the mechanisms underlying the suppression of pathogens by beneficial microbial communities; and biocontrol, RNA spraying, and nanotechnology are possible solutions which could minimize the over-reliance on chemicals. Nonetheless, the application of these innovations demands field testing, cost-effectiveness evaluation, biosafety assessment, and adaptation to local conditions. Plant pathogenic fungal diseases management in the future will be about using diagnostic and preventive approaches and decision support systems that can be used by scientists, extension agents, and farmers. 

Plant-Pathogenic Fungi; CRISPR-Cas; LAMP; Artificial Intelligence; Plant Microbiome 

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2026-1435.pdf

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Intesar Ali Mezeal and Rand Haider Ali. Modern technologies in the diagnosis and management of plant-pathogenic fungi: From CRISPR to the microbiome and Artificial Intelligence. International Journal of Science and Research Archive, 2026, 20(01), 150–157. Article DOI: https://doi.org/10.30574/ijsra.2026.20.1.1435.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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