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
Dr. Harish B G
, Chetankumar G S , Rachana S P , Pavan S Hatti
Unique Id:
IJSDR2309031
Published In:
Volume 8 Issue 9, September-2023
Abstract:
Farmers must detect and treat plant, leaf, and fruit diseases early in order to increase agricultural production. The utilization of contemporary farming technology can assist them in achieving this goal. Farmers can limit the danger of disease transmission and crop loss by utilizing a variety of approaches and keeping a careful check on things on a regular basis. Detecting plant leaf disease is an important stage in farming because it can save a farmer a lot of money. Keeping a close check on your crops at all phases of development is critical if you want to maximize your output. Because human diagnosis of leaf diseases can be difficult, an automated approach to disease detection and categorization is especially desired.
Keywords:
Cite Article:
"Plant Disease Classification System Using AI", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.207 - 211, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309031.pdf
Downloads:
000346990
Publication Details:
Published Paper ID: IJSDR2309031
Registration ID:208531
Published In: Volume 8 Issue 9, September-2023
DOI (Digital Object Identifier):
Page No: 207 - 211
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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