Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review-Reference-Cited by-同舟云学术

Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review

Published:2024 Issue: Volume:12 Page:60155-60184
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mohyuddin Ghulam¹,Khan Muhammad Adnan²^ORCID,Haseeb Abdul³^ORCID,Mahpara Shahzadi¹,Waseem Muhammad⁴^ORCID,Saleh Ahmed Mohammed⁵^ORCID

Affiliation:

1. Department of Agriculture, Ghazi University, Dera Ghazi Khan, Punjab, Pakistan

2. Department of Electrical Engineering, HITEC University, Taxila, Punjab, Pakistan

3. LUMS Energy Institute, Department of Computer Science, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan

4. Department of Electronic Engineering, International Renewable and Energy Systems Integration Research Group (IRESI), Maynooth University, Kildare, Maynooth, Ireland

5. Faculty of Engineering, University of Aden, Aden, Yemen

Funder

European Union through the Horizon Europe framework

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10504121.pdf?arnumber=10504121

Reference249 articles.

1. OECD-FAO Agricultural Outlook 2020-2029

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