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Journal of Computational Social Dynamics

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Published

2022-10-11

Issue

Vol. 7 No. 4 (2022): Journal of Computational Social Dynamics-4th-Q

Section

Articles

How to Cite

Zhang, M., & Jargal, B.-E. (2022). Integration of Sensors and Microfluidics in the Battle Against Plant Pathogens: A Technological Perspective. Journal of Computational Social Dynamics, 7(4), 29–39. Retrieved from https://vectoral.org/index.php/JCSD/article/view/52

Integration of Sensors and Microfluidics in the Battle Against Plant Pathogens: A Technological Perspective

Mei Zhang

Mongolian University of Agriculture and Technology (MUAT), Mongolia

Bat-Erdene Jargal

Department of Biotechnology, Mongolian National University, Mongolia

Keywords: Plant pathogens, disease diagnostics, sensors, microfluidics, lab-on-a-chip, precision agriculture, optical sensors, electrochemical sensors

Abstract

Plant pathogens, including bacteria, fungi, nematodes, oomycetes, and viruses, are a major threat to global agricultural production and food security. The timely detection and monitoring of plant pathogens is critical for effective disease management. Technological advances in sensors and microfluidics have enabled new diagnostic tools for field-based detection and quantification of pathogens. In this article, we provide a comprehensive review of recent developments in sensor and microfluidic technologies that are being integrated into plant pathology and disease management. We discuss various classes of sensors used for plant pathogen diagnostics, including optical, electrochemical, and piezoelectric sensors. We also focus on microfluidic devices known as lab-on-a-chip systems that offer portability, multiplexing, and automation for plant disease diagnostics. Insights are provided into innovative strategies for disease monitoring and control through precise spatial-temporal targeting guided by sensors and microfluidics. The major opportunities and remaining challenges in further integrating these technologies into precision agriculture are also considered. Overall, this review highlights the key role of sensors and microfluidics in accelerating progress against plant pathogens through more precise, rapid, and affordable diagnostics at the point-of-care.

Author Biography

Bat-Erdene Jargal, Department of Biotechnology, Mongolian National University, Mongolia

 

 

 

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Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

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All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

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For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.