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REVIEW

Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies

Sumit Sow^1,#, Shivani Ranjan^1,#,*, Mahmoud F. Seleiman^2,3, Hiba M. Alkharabsheh^4,*, Mukesh Kumar¹, Navnit Kumar¹, Smruti Ranjan Padhan⁵, Dhirendra Kumar Roy¹, Dibyajyoti Nath⁶, Harun Gitari⁷, Daniel O. Wasonga⁸

1 Department of Agronomy, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, 848125, India
2 Department of Plant Production, College of Food and Agriculture Sciences, King Saud University, Riyadh, 11451, Saudi Arabia
3 Department of Crop Sciences, Faculty of Agriculture, Menoufia University, Shibin El-Kom, 32514, Egypt
4 Department of Water Resources and Environmental Management, Faculty of Agricultural Technology, Al Balqa Applied University, Salt, 19117, Jordan
5 Division of Agronomy, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi, 110012, India
6 Department of Soil Science, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, 848125, India
7 Department of Agricultural Science and Technology, School of Agriculture and Environmental Sciences, Kenyatta University, Nairobi, 43844, Kenya
8 Department of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA

* Corresponding Authors: Shivani Ranjan. Email: ; Hiba M. Alkharabsheh. Email: