Acta Scientific Agriculture (ASAG)(ISSN: 2581-365X)

Review Article Volume 5 Issue 9

Emerging Trends of Artificial Intelligence in Agriculture

S Madhuri Paradesi*

Associate Professor, Department of Law, Sri Padmavathi MahilaViswaVidyalayam, Tirupati, Andhra Pradesh, India

*Corresponding Author: S Madhuri Paradesi, Associate Professor, Department of Law, Sri Padmavathi MahilaViswaVidyalayam, Tirupati, Andhra Pradesh, India.

Received: July 19, 2021; Published: August 24, 2021

Abstract

  This article outlines and examines the meaning, benefits of Artificial intelligence (AI) in predicting its benefits in Agriculture through machine learning. While Artificial intelligence is the capacity of the system to grasp, comprehend, analyze and predict data, Machine learning Creates models through natural language programming (NLP) and facilitates the prediction. This process requires big data base. Data is the fundamental basis of AI. Instead of manually cultivating, AI through algorithm facilitates automatic search agricultural processes are feed to the system through machine learning model. The easy methods of farming will be ascertained and used for agriculture.

  In many countries AI is being used to predict data and to decide whether This is facilitated by AI through predictions referring to the data to understand a particular agricultural process is suitable for a land, what type of farming , labor are required are analysis . Therefore, it can be said that AI does the work of a human being though training in the form of program. The author is interested to bring to light the use of AI in Agriculture, its benefits to the farmers with relevant examples and its disadvantages with conclusion and suggestions for effective use of AI in this regard.

Keywords: Artificial Intelligence; Machine Learning; Algorithm; Supervised Learning; Unsupervised Learning

References

  1. Bishop CM. Pattern Recognition and Machine Learning, Springer, ISBN 978-0-387-31073-2: Machine learning and pattern recognition "can be viewed as two facets of the same field (2006).
  2. Friedman Jerome H. "Data Mining and Statistics: What's the connection?". Computing Science and Statistics1 (1998): 3-9.
  3. Mitchell Tom. “Machine Learning”. New York: McGraw Hill. OCLC 36417892 (1997).
  4. Mitchell T. “Machine Learning”. McGraw Hill (1997): 2.
  5. Samuel Arthur. "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal of Research and Development3 (1959): 210-229.
  6. R Kohavi and F Provost. "Glossary of terms". Machine Learning2-3 (1998): 271-274.
  7. Nilsson N. “Learning Machines”. McGraw Hill (1965).
  8. Duda R and Hart P. “Pattern Recognition and Scene Analysis”. Wiley Interscience (1973).
  9. S Bozinovski. "Teaching space: A representation concept for adaptive pattern classification". COINS Technical Report No. 81-28, Computer and Information Science Department, University of Massachusetts at Amherst, MA (1981).
  10. , et al. “Metal earning: Applications to Data Mining (Fourth Ed.)”. Springer Science Business Media (2009): 10-14.
  11. Ethem Alpaydin. “Introduction to Machine Learning (Fourth ed.)”. MIT (2020): xix, 1-3, 13-18.

Citation

Citation: S Madhuri Paradesi. “Emerging Trends of Artificial Intelligence in Agriculture". Acta Scientific Agriculture 5.9 (2021): 38-43

Copyright

Copyright: © 2021 S Madhuri Paradesi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor1.014

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is December 25, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"

Contact US





//