INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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)
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.
"Advancements in Plant Disease Detection Techniques: A Comprehensive Review and Potential Model", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c719-c725, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305292.pdf
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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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