sustainability Review Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models Pavitra Kumar 1, Sai Hin Lai 1, Jee Khai Wong 2,3, Nuruol Syuhadaa Mohd 1, Md Rowshon Kamal 4 , Haitham Abdulmohsin Afan 5 , Ali Najah Ahmed 6 , Mohsen Sherif 7,8 , Ahmed Sefelnasr 8 and Ahmed El-Shafie 1,* 1 Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia;
[email protected] (P.K.);
[email protected] (S.H.L.);
[email protected] (N.S.M.) 2 Department of Civil Engineering, College of Engineering, University Tenaga Nasional (UNITEN), Jalan Ikram-UNITEN, Kajang 43000, Selangor, Malaysia;
[email protected] 3 Institute for Sustainable Energy (ISE), University Tenaga Nasional (UNITEN), Kajang 43000, Selangor, Malaysia 4 Department of Biological and Agricultural Engineering, Faculty of Engineering, University Putra Malaysia, Selangor 43400, Malaysia;
[email protected] 5 Department of Civil Engineering, Al-Maaref University College, Ramadi 31001, Iraq;
[email protected] 6 Institute for Energy Infrastructure (IEI), University Tenaga Nasional (UNITEN), Kajang 43000, Selangor, Malaysia;
[email protected] 7 Civil and Environmental Eng. Dept., College of Engineering, United Arab Emirates University, Al Ain 15551, UAE;
[email protected] 8 National Water Center, United Arab Emirate University, Al Ain P.O. Box 15551, UAE;
[email protected] * Correspondence: elshafi
[email protected] Received: 22 April 2020; Accepted: 22 May 2020; Published: 26 May 2020 Abstract: The prediction of nitrogen not only assists in monitoring the nitrogen concentration in streams but also helps in optimizing the usage of fertilizers in agricultural fields.