Diabetic curable plants recognition using CNN

Dr. Harish B G , Chetan Kumar G S , Sabeeha Banu N R , Sushma N

The medication business balance the environment as well as the farming efficiency and manageability. Botanists are keen on the minor departure from leaf qualities as it assists them with doing a similar to the investigation on plants. Acknowledgment of Plant from pictures is a difficult PC vision task. The different kinds of difficulties are many pieces of the plant, which should be distinguished, are additionally assorted in nature with high intra class varieties and little entomb class varieties. Albeit the exploration on programmed plant scientific categorization has delivered productive outcomes, however those models are still distant from the prerequisites of a completely robotized natural reconnaissance situation.

Published Paper   E-Certificate

"Diabetic curable plants recognition using CNN", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.293 - 297, September-2023, Available :https://ijsdr.org/papers/IJSDR2309047.pdf

Volume 8 Issue 9, September-2023

Pages : 293 - 297

Paper Reg. ID: IJSDR_208510

Published Paper Id: IJSDR2309047

Downloads: 000347189

Research Area: Science & Technology

Country: Davangere, Karnataka , India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2309047

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2309047

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition