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 : 94

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: Artificial Intelligence, Machine Learning, and Internet of Things in Indian Agriculture: Opportunities and Challenges
Authors Name: Pramod Mahale
Download E-Certificate: Download
Author Reg. ID:
IJNRD_184539
Published Paper Id: IJNRD2212033
Published In: Volume 7 Issue 12, December-2022
DOI:
Abstract: Day by day the use of advanced technology in the field of agriculture is inevitable for increasing crop production for food security. The use of new technologies such as artificial intelligence and the internet of things (IoT) can be possible to reduce the cost of cultivation, reduction in time for various operations, quality of work, uniformity of applications, and reduction in drudgery. This can be done through with exact diagnosis of diseases and pests, efficient application of water, efficient application of inputs, and identifying the crop maturity at right time. The different uses of artificial intelligence (AI) and the Internet of Things (IoT) in agriculture are discussed in this study, Artificial Intelligence in Agriculture. Crop selection is another area where artificial intelligence is useful in agriculture. AI-based solutions are of great importance for choosing crops depending upon factors including soil type, monsoon dates, availability, and affordability. Monitoring of crops is possible, involving data collection from the fields via IoT, drones, and satellite imaging, followed by monitoring and analysis by AI-based applications to find the best solutions. For improved results from this technology, AI training also has to take into account the expertise and experience of farmers in their industry.
Keywords: agriculture, mechanization, artificial intelligence, Internet of Things, machine learning
Cite Article: "Artificial Intelligence, Machine Learning, and Internet of Things in Indian Agriculture: Opportunities and Challenges ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.a229-a232, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212033.pdf
Downloads: 000118743
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:IJNRD2212033
Registration ID: 184539
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: a229-a232
Country: Sawangi (M), Wardha, Maharashtra, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2212033
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2212033
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