IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
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)

Call For Paper

For 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: Technology Based Agriculture
Authors Name: H C Sujan Kumar , Jane Belita Dsouza , Neha G Rao , Sheikh Afraaz , Ganesh V N
Download E-Certificate: Download
Author Reg. ID:
IJNRD_195458
Published Paper Id: IJNRD2305445
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: In India, agriculture along with its associated sectors is the major source of livelihood for small and marginal farmers, which occupy about 85 % of farmers in the country. Crop production must be managed for plant diseases and weeds to be sustainable. Weeds are a concern because they crowd out valuable crops and take up space, water, and nutrients. Some weeds also become tangled in equipment, which hinders effective harvesting. Water wastage is also a big concern that the world faces. Nowadays water shortage is increasing day by day as a result saving water is also a topic of concern. Tools for weed and crop detection and plant disease data have been developed using machine learning techniques such as object detection and image classification. In this we provide a method for weed and crop detection and plant disease diagnosis that integrates object recognition and picture classification approaches. For object detection and image classification, the suggested method makes use of YOLOv4 algorithm and convolutional neural networks. And for automated irrigation system estimate how much quantity of water a crop would need. As a result, weed removal systems are essential. And automated irrigation system for plants can be supplied with water in a proper time interval.
Keywords: YOLOv4, CNN, Machine leaning, Image processing, Android Studio, Arduino, Soil sensors, GSM.
Cite Article: "Technology Based Agriculture", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e394-e399, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305445.pdf
Downloads: 000118761
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:IJNRD2305445
Registration ID: 195458
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: e394-e399
Country: Mangalore, Karnataka, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305445
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305445
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

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)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD