Applications of Artificial Intelligence in Agriculture

Authors

  • G. Ramachandran Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College-Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamilnadu, India
  • T. Sheela Associate Professor, Department of Electronics and Communication Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College-Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamilnadu, India
  • S. Kannan Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College-Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamilnadu, India
  • A. Malarvizhi Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College-Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamilnadu, India
  • G. Sureshkumar Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College-Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamilnadu, India
  • P.M. Murali Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College-Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamilnadu, India
  • G. Murali Assistant Professor, Department of Electronics and Communication Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College-Vinayaka Mission's Research Foundation (Deemed to be University) Salem, Tamilnadu, India

Abstract

Every day, farms produce thousands of information points on temperature, soil, usage of water, atmospheric phenomenon, etc. With the assistance of computer science and machine learning models, this data is leveraged in real-time for obtaining useful insights like choosing the correct time to plant seeds, determining the crop choices, hybrid seed choices etc.

Keywords: Artificial intelligence, agriculture robots, agriculture, intelligent spraying, temperature, soil, water, machine learning

Cite this Article G. Ramachandran, T. Sheela, S. Kannan, A. Malarvizhi, G. Sureshkumar, P.M. Murali, G. Murali. Applications of Artificial Intelligence in Agriculture. Journal of Computer Technology & Applications. 2020; 11(1): 1–3p.

Downloads

Published

2020-05-20

Issue

Vol. 11 No. 1 (2020)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.