P. NAUTIYAL1*, C.T. NAUTIYAL2, K. AGRAWAL3, S. KHANIYA4, A. SEMWAL5, B. KARKI6
1ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, ICAR-Krishi Vigyan Kendra, Chinyalisaur, 249 196, Uttarkashi, Uttarakhand, India
2Department of Higher Education, Uttarakhand, India
3Texas Tech University, Lubbock, TX 79409, Texas, USA
4Kisan Agro Concern Pvt Ltd., Kathmandu 44600, Nepal
5Shri Guru Ram Rai University, Dehradun, 248121, Uttarakhand, India
6NP Holdings, Kathmandu, 44600, Nepal
* Corresponding Author : pankajnautiyal2009@gmail.com
Received : 07-10-2022 Accepted : 27-10-2022 Published : 30-10-2022
Volume : 14 Issue : 10 Pages : 11758 - 11760
Int J Agr Sci 14.10 (2022):11758-11760
Keywords : Artificial Intelligence, Machine Learning, Agriculture Robotics
Academic Editor : Dr Debasish Borah, Dr Hemangi Mehta, Dr H Chandrashekar
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Higher Education, Uttarakhand, India and Shri Guru Ram Rai University, Dehradun, 248121, Uttarakhand, India
Author Contribution : All authors equally contributed
Artificial intelligence technologies are the future of agriculture. There is an ocean of opportunities in Artificial intelligence technology in the field of agriculture, from soil testing to crop monitoring. Some of the ongoing projects are doing so well that, some of them can even claim an augment of 30 to 35% in overall yield. Artificial intelligence technologies can be one of the major factors determining the scope of agriculture in the upcoming future. The use of Artificial intelligence is likely to bring about a revolutionary change in the field of agriculture. Machine learning is the current technology which is advantageous for the farmers as it helps them to mitigate the losses by providing methods of effective farming with the use of little manpower to produce high quality yield