Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2019) [Effective from January 1, 2019]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(12): 2122-2128
DOI: https://doi.org/10.20546/ijcmas.2018.712.241


Artificial Intelligence (AI) in Agriculture
V. Dharmaraj and C. Vijayanand
Department of Agriculture Engineering, Sethu Institute of Technology, Viruthunagar 626115, Tamil Nadu, India
*Corresponding author
Abstract:

The United Nations FAO (Food and Agriculture Organization) states that the world population would increase by another 2 billion in 2050 while the additional land area under cultivation will only account to 4% at that time. In such circumstance more efficient farming practices can be attained using the recent technological advancements and solutions to current bottlenecks in farming. A direct application of AI (Artificial Intelligence) or machine intelligence across the farming sector could act to be an epitome of shift in how farming is practiced today. Farming solutions which are AI powered enables a farmer to do more with less, enhancing the quality, also ensuring a quick GTM (go-to-market strategy) strategy for crops. The current paper throws a vision of how the diverse sectors of agriculture can be fuelled using AI. It also investigates the AI powered ideas in for future and the challenges anticipated in future.


Keywords: Agriculture, Artificial Intelligence, Robotics, Crop, Farming
Download this article as Download

How to cite this article:

Dharmaraj, V. and Vijayanand, C. 2018. Artificial Intelligence (AI) in Agriculture.Int.J.Curr.Microbiol.App.Sci. 7(12): 2122-2128. doi: https://doi.org/10.20546/ijcmas.2018.712.241