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)
The productivity of agriculture is crucial for the economy, and detecting diseases in plants is vital for this purpose. Failure to detect and address plant diseases can severely affect plant health, product quality, quantity, and productivity. Little leaf disease is an example of a harmful plant disease that affects pine trees in the United States. Automatic techniques for disease detection can significantly reduce the workload involved in monitoring large farms of crops and identify disease symptoms at an early stage. This paper proposes an algorithm that employs image segmentation techniques to automatically detect and classify plant leaf diseases. Additionally, the paper discusses different techniques for classifying plant leaf diseases and emphasizes the importance of image segmentation, which is performed using genetic algorithms.
Keywords:
#leafdiseaseprediction
Cite Article:
"Leaf disease prediction", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e341-e346, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305437.pdf
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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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