Paper Title

Metallic Petals: TPU-based Flower Classification

Article Identifiers

Registration ID: IJNRD_224276

Published ID: IJNRD2407007

DOI: Click Here to Get

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.

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

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

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.

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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