editedbook

MACHINE LEARNING – A NOVEL APPEAL FOR SUSTAINABLE AGRICULTURE

Area/Stream: Artificial Intelligence,
Authors: Janarth S, Shandeep S.G, Tamilmounika R, Pandiya Kumar D, Sabthapathy .M
Keywords: machine learning; agriculture; crop; input; yield
Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 21
Publication: IIP Proceedings

Year: 2022,
Month: November

Page No: 206-215,
ISSN/ISBN: 978-93-95632-70-6,
DOI/Link: https://rsquarel.org/assets/docupload/rsl2023DEECDAF7394AE53.pdf


Abstract:

Machine learning is emerging globally in all fields. This chapter provides the information on the basic concepts on machine learning techniques and its applications in agriculture and to manage the crops effectively by giving inputs to the crops in a needed time to avoid wastage of inputs, the yield of crop is also increased and monitored using machine learning techniques.

Cite this: Janarth S, Shandeep S.G, Tamilmounika R, Pandiya Kumar D, Sabthapathy .M,"MACHINE LEARNING – A NOVEL APPEAL FOR SUSTAINABLE AGRICULTURE", Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 21, November, 2022, 206-215, 978-93-95632-70-6, https://rsquarel.org/assets/docupload/rsl2023DEECDAF7394AE53.pdf
Views: 4167 Download File
News

Index your research paper @ RSquareL

Call for research papers evaluation 

Get listed your profile under listing based on your RSquareL Value

Registration for Indexing Author Journal Publisher Conference Organizer
Research Recognition & Listing Young Researcher Young Achiever Research Excellence

Contact Us

RSquareL is the indexing platform developed by Global Academicians & Researchers Network (GARNet.). RSquareL is the abstract database of peer-reviewed scientific journals, books, and conference proceedings that covers research topics across all scientific, technical, and medical disciplines.

Contact Details

Contact Email: publish@rsquarel.org
Write to Us: Click Here
Counter Start Date: 27-12-2021 Flag Counter

© 2024 RSquareL