AI in Agriculture: Precision Farming and Crop Monitoring

Authors

  • Ashok Kumar Bandla Associate Professor, Ramachandra College of Engineering, Eluru, India
  • Nageswara Reddy Nagireddy Senior Assistant Professor, Department of Civil Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India – 532127
  • Srilakshmi.Ch Assistant Professor,R.M.D. Engineering College, Chennai, Tamil Nadu, India – 600017
  • Aleem Basha Shaik Associate Professor, Department of Information Technology, Joginpally B.R Engineering College, Moinabad, Hyderabad, Telangana
  • T.Vanitha Assistant professor, Department of Artificial Intelligence and Data Science, Erode Sengunthar Engineering College, Thudupathi,Erode

Keywords:

AI in agriculture, precision farming, crop monitoring, machine learning, computer vision, yield prediction, pest detection, sustainable farming, data analytics

Abstract

Currently the agricultural sector is experiencing a revolutionary change through incorporation of Artificial Intelligence technologies. This paper aims at examining AI in precision farming and crop monitoring and the ways through which it increases agricultural productivity, crop health surveillance and resource utilization. The paper also reviews different artificial intelligence approaches including machine learning, computer vision, and data analytics in use in activities like yield prediction, pest and disease recognition, and assessment of soil health. In addition, the paper looks at some of the advantages and disadvantages of integrating Artificial Intelligence in farming as well as providing examples and success stories across the globe. The present study implies that fur AI has the potential to enhance sustainable agriculture but organizational barriers such as high costs and technical requirements need to be overcome.

Downloads

Published

2024-09-22

How to Cite

Ashok Kumar Bandla, Nageswara Reddy Nagireddy, Srilakshmi.Ch, Aleem Basha Shaik, & T.Vanitha. (2024). AI in Agriculture: Precision Farming and Crop Monitoring. Journal of Computational Analysis and Applications (JoCAAA), 33(4), 231–240. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/652

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.