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: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: A Grape Plant Disease Detection By Machine Learning Using Python
Authors Name: Veda Sanjay Motekar
Unique Id: IJSDR2305306
Published In: Volume 8 Issue 5, May-2023
Abstract: Image processing has been proved to be an effective tool for analysis in various fields and applications. In Agriculture sector the parameters like quantity and quality of product are the important measures from the farmers’ point of view. The correct and timely identification of diseases in crops is the basis for integrated management of a farm. Generally, the disease features of any leaves are subjectively extracted by manual inspection. Automatic leaf disease identification by machine inspection can be of great benefit to those users who have little or no information about the crop they are growing. Such users include farmers, gardeners, homemakers who cannot afford the services of an expert agronomist. Here various methods and techniques involved in the field of image processing to detect diseases in various types of leaves can be achieved. The possible improvements in each of the research work will be identified and specified and at the end, overall research gaps will be identified.
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Cite Article: "A Grape Plant Disease Detection By Machine Learning Using Python", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1926 - 1930, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305306.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2305306
Registration ID:206678
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1926 - 1930
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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