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Indian economy is highly depend on the agricultural products. Therefore detecting disease of plants at the earlier stage plays important role. To detect diseases, requires enormous amount of work, mastery in the leaf diseases, and additionally need the extreme amount of time.Image processing is a diverging area where researches and advancements are taking a geometrical progress in the agricultural field. Identification of plant diseases can not only maximize the yield production but also can be supportive for varied types of agricultural practices.Plant leaf disease detection and identification includes the stages like image acquisition, image pre-processing, image segmentation, feature extraction and classification.This paper discusses techniques for image pre-processing, image segmentation algorithm used for automatic recognition and research on various plant leaf disease classification algorithms that may be used for leaves disease classification.
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"Plant leaf disease classification using image processing ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 5, page no.158 - 162, May-2019, Available :http://www.ijrti.org/papers/IJRTI1905038.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator