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
, Chetan Kumar G S , Sabeeha Banu N R , Sushma N
Unique Id:
IJSDR2309047
Published In:
Volume 8 Issue 9, September-2023
Abstract:
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.
Keywords:
Cite Article:
"Diabetic curable plants recognition using CNN", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.293 - 297, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309047.pdf
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Publication Details:
Published Paper ID: IJSDR2309047
Registration ID:208510
Published In: Volume 8 Issue 9, September-2023
DOI (Digital Object Identifier):
Page No: 293 - 297
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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