Paper Title
Metallic Petals: TPU-based Flower Classification
Article Identifiers
Authors
Tadikonda Harshitha , Lakshmi Likhitha Komarina , Jahnavi Geda , Bhuvana Mogali
Keywords
Abstract
Automated flower classification plays a pivotal role in various domains, from ecological studies to agriculture and beyond .The work uses a cutting-edge deep learning model for picture categorization and makes use of a sizable dataset with a variety of flower species. The study leverages a comprehensive dataset of diverse floral species, employing a state-of-the-art deep learning model for image classification. The integration of TPUs into the classification pipeline is explored, unlocking unprecedented computational speeds, and enabling the scalability of the model. Results indicate a significant boost in classification accuracy, showcasing the potential of TPUs in accelerating flower classification tasks. This research not only contributes to the field of automated image classification but also underscores the utility of TPUs in expediting complex machine learning computations.
Downloads
How To Cite
"Metallic Petals: TPU-based Flower Classification", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 7, page no.a56-a62, July-2024, Available :https://ijnrd.org/papers/IJNRD2407007.pdf
Issue
Volume 9 Issue 7, July-2024
Pages : a56-a62
Other Publication Details
Paper Reg. ID: IJNRD_224276
Published Paper Id: IJNRD2407007
Downloads: 000121196
Research Area: Engineering
Country: Vijayawada, AndhraPradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2407007.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407007
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
Publisher: IJNRD (IJ Publication) Janvi Wave
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.
Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: August 2025
Current Issue: Volume 10 | Issue 8
Last Date for Paper Submission: Till 31-Aug-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.
Subject Category: Research Area