WEED DETECTION IN COTTON

WEED DETECTION IN COTTON

Registration ID: IJNRD_200360

Published ID: IJNRD2306647

DOI: Click Here to Get

SOHAIL ALI J

In this project, a weed identification framework for cotton plants is proposed using the cutting-edge machine learning algorithm YOLOv5. By precisely diagnosing weeds in real-time, the goal is to improve weed control in cotton fields. The method that was created makes use of a library of annotated photos that include several weed species that are frequently seen in cotton plantations. With the help of this dataset, which was used to train the YOLOv5 model, weeds may be located and identified with good recall and precision. The suggested framework offers an economical and effective method for weed identification in cotton plants, which can help with herbicide application optimization and minimize crop losses.

Published Paper   E-Certificate

"WEED DETECTION IN COTTON", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 6, page no.g741-g757, June-2023, Available :https://ijnrd.org/papers/IJNRD2306647.pdf

Volume 8 Issue 6, June-2023

Pages : g741-g757

Paper Reg. ID: IJNRD_200360

Published Paper Id: IJNRD2306647

Downloads: 000121130

Research Area: Computer Engineering 

Country: ANUPURAM, TAMIL NADU , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306647.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306647

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

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

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.

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?

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