IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: VARIOUS PLANT DISEASES DETECTION USING IMAGE PROCESSING METHODS
Authors Name: Simranjeet Kaur , Geetanjali babbar , Navneet Sandhu , Dr. Gagan Jindal
Unique Id: IJSDR1906076
Published In: Volume 4 Issue 6, June-2019
Abstract: Identification of plant leaf diseases is the preventive measure for the loss happened in the yield and the overall agriculture crop quantity. Basically, the studies of the plant diseases are defined by visualizing and observing patterns observed and engraved on the leaves. So, the disease detection of any plant prior to any hazardous impact becomes very crucial factor for viable agriculture. However, it is so difficult to detect, monitor and derive conclusions from the plant leaf diseases manually because, the costs emerging in the process demands huge amount of workdone, energy, expertize and last but not least the processing time. Therefore, image processing concepts comes handy and are used for disease detections. The detection process includes the phases such as, image acquisition, segmentation, image pre-processing, feature extraction from segments and then classification based on the results. This paper discusses the elementary methods that are being used for the plant disease detection based on the leaf images.
Keywords: Image acquisition, feature extraction, leaf disease detection, image processing,segmentation, classification
Cite Article: "VARIOUS PLANT DISEASES DETECTION USING IMAGE PROCESSING METHODS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 6, page no.428 - 431, June-2019, Available :http://www.ijsdr.org/papers/IJSDR1906076.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR1906076
Registration ID:190729
Published In: Volume 4 Issue 6, June-2019
DOI (Digital Object Identifier):
Page No: 428 - 431
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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