Smart Agriculture using Artificial Intelligence: A Review

Subhalaxmi*
Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Jonnada, Andhra Pradesh, India.
Periodicity:June - August'2021
DOI : https://doi.org/10.26634/jcom.9.2.17741

Abstract

Artificial Intelligence technology is being implemented in various industries, including healthcare, automotive, manufacturing, finance, and agriculture. It also supports these industries in overcoming traditional difficulties in increasing productivity and efficiency. Agricultural automation is a major source of concern and a hot topic around the world. The world's population is rapidly growing, and it comes with increased demand for food and work. The farmers' traditional practices are not sufficient to meet these objectives. In this paper it is examined how computer science is used in the farming and agricultural industries. An agricultural production system is being forced into a replacement paradigm, according to the Food and Agriculture Organization of the United Nations. Rapid population growth, shrinking farmland, depleting natural resources, erratic climate change, and shifting market demands are all contributing to this trend. The new agricultural system must be more productive in terms of production, more efficient in terms of operation, more resilient to global climate change, and more sustainable for future generations to be effective and sustainable. When it comes to processing data and generating patterns, deep learning is a synthetic intelligence function that mimics the human brain. Deep learning can be utilized in decision-making since it mimics how the brain works. Image processing and huge data analysis are among the advanced techniques that have tremendous potential in this field. Numerous applications of deep learning techniques are being explored in agriculture, including disease detection, fruit or plant classification, and agricultural management processes, among other things.

Keywords

Artificial Intelligence, Agriculture, Adoption, Robots, Deep Learning, Decision Making.

How to Cite this Article?

Subhalaxmi. (2021). Smart Agriculture using Artificial Intelligence: A Review. i-manager's Journal on Computer Science, 9(2), 41-50. https://doi.org/10.26634/jcom.9.2.17741

References

[2]. Aydoğan, Y. (2018). Drone technology in agricultural mechanization. Mechanization in agriculture & Conserving of the resources, 64(2), 36-39.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.