EconPapers    
Economics at your fingertips  
 

The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture

E. M. B. M. Karunathilake, Anh Tuan Le, Seong Heo, Yong Suk Chung () and Sheikh Mansoor ()
Additional contact information
E. M. B. M. Karunathilake: Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea
Anh Tuan Le: Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea
Seong Heo: Department of Horticulture, Kongju National University, Yesan 32439, Republic of Korea
Yong Suk Chung: Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea
Sheikh Mansoor: Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea

Agriculture, 2023, vol. 13, issue 8, 1-26

Abstract: Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maximize crop yields, cut waste, and increase productivity. It is a potential strategy for tackling some of the major issues confronting contemporary agriculture, such as feeding a growing world population while reducing environmental effects. This review article examines some of the latest recent advances in precision agriculture, including the Internet of Things (IoT) and how to make use of big data. This review article aims to provide an overview of the recent innovations, challenges, and future prospects of precision agriculture and smart farming. It presents an analysis of the current state of precision agriculture, including the most recent innovations in technology, such as drones, sensors, and machine learning. The article also discusses some of the main challenges faced by precision agriculture, including data management, technology adoption, and cost-effectiveness.

Keywords: precision farming; smart farming; agricultural technology; Internet of Things (IoT); big data analytics; machine learning; artificial intelligence (AI) (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
https://www.mdpi.com/2077-0472/13/8/1593/pdf (application/pdf)
https://www.mdpi.com/2077-0472/13/8/1593/ (text/html)

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:gam:jagris:v:13:y:2023:i:8:p:1593-:d:1215239

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jagris:v:13:y:2023:i:8:p:1593-:d:1215239