EconPapers    
Economics at your fingertips  
 

A REVIEW ON USE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN AGRICULTURE

Abhishek Subedi ()
Additional contact information
Abhishek Subedi: Institute of Agriculture and animal science

Big Data In Agriculture (BDA), 2023, vol. 5, issue 2, 71-72

Abstract: The implementation of artificial intelligence (AI) and machine learning (ML) techniques in the field of agriculture has gained significant attention in recent years. This report explores the various applications of AI and ML in agriculture, focusing on their benefits, challenges, and future prospects. By analyzing existing research and case studies, this report aims to provide insights into the potential of AI and ML technologies to revolutionize farming practices and improve crop yield, resource management, and sustainability in the agricultural sector.

Keywords: Artificial intelligence; machine learning; analysis; unemployment (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/paper/issue22023/2bda2023-71-72.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:5:y:2023:i:2:p:71-72

DOI: 10.26480/bda.02.2023.71.72

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-20
Handle: RePEc:zib:zbnbda:v:5:y:2023:i:2:p:71-72