|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | AI Flower Classification Application |
| Authors Name: | Aishwarya V , Arivukkarasi B , Kanchana K |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_193471
|
| Published Paper Id: | IJNRD2305073 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | The identification of flower is complex, time consuming, and due to the use of specific botanical terms it is frustrating for non-experts. This creates a hurdle for people in acquiring species knowledge. Today, there is an increasing interest in automating the process of species identification. The availability and ubiquity of relevant technologies such as, digital cameras and mobile devices, the remote access to databases, new techniques in image processing and patter recognition we let the idea of automated species identification become reality. This is a through analysis and comparison of primary studies on computer vision approaches for plant species identification. Plant species identification is a research field area, which includes pre-processing, segmentation, feature extraction and classification. In this filed, there exists many algorithms to analyze the image. The application aims at understanding pre-processing, extracting the features, and classifying using various machine learning techniques It is useful to identify flower type in various fields such as Gardening, botany research, Ayurvedic treatment, Farming, Floriculture etc. |
| Keywords: | Flower classification; Image processing; Machine Learning (ML); Deep Learning (DL); Artificial Neural Networks (ANN); Convolutional Neural Network (CNN) |
| Cite Article: | "AI Flower Classification Application", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a582-a588, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305073.pdf |
| Downloads: | 000118752 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2305073 Registration ID: 193471 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: a582-a588 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305073 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305073 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn