Corrections to &#x201C;Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review&#x201D;

Ghulam Mohyuddin; Muhammad Adnan Khan; Abdul Haseeb; Shahzadi Mahpara; Muhammad Waseem; Ahmed Mohammed Saleh

doi:10.1109/ACCESS.2024.3448829

IEEE Access (Jan 2024)

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

Ghulam Mohyuddin,
Muhammad Adnan Khan,
Abdul Haseeb,
Shahzadi Mahpara,
Muhammad Waseem,
Ahmed Mohammed Saleh

Affiliations

Ghulam Mohyuddin: Department of Agriculture, Ghazi University, Dera Ghazi Khan, Punjab, Pakistan
Muhammad Adnan Khan: ORCiD; Department of Electrical Engineering, HITEC University, Taxila, Punjab, Pakistan
Abdul Haseeb: ORCiD; LUMS Energy Institute, Department of Computer Science, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan
Shahzadi Mahpara: Department of Agriculture, Ghazi University, Dera Ghazi Khan, Punjab, Pakistan
Muhammad Waseem: ORCiD; Department of Electronic Engineering, International Renewable and Energy Systems Integration Research Group (IRESI), Maynooth University, Kildare, Maynooth, Ireland
Ahmed Mohammed Saleh: ORCiD; Faculty of Engineering, University of Aden, Aden, Yemen

DOI: https://doi.org/10.1109/ACCESS.2024.3448829
Journal volume & issue: Vol. 12
pp. 118830 – 118830

Abstract

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Presents corrections to the paper, Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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