Plant Disease Classification System Using AI

Dr. Harish B G , Chetankumar G S , Rachana S P , Pavan S Hatti

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.

Published Paper   E-Certificate

"Plant Disease Classification System Using AI", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.207 - 211, September-2023, Available :https://ijsdr.org/papers/IJSDR2309031.pdf

Volume 8 Issue 9, September-2023

Pages : 207 - 211

Paper Reg. ID: IJSDR_208531

Published Paper Id: IJSDR2309031

Downloads: 000347071

Research Area: Science & Technology

Country: Davanagere, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2309031

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2309031

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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