Supreme A. Okoh

Work place: Department of Software Engineering, Veritas University Abuja, Nigeria



Research Interests: Software Engineering, Artificial Intelligence, Information Security, Network Architecture, Network Security, Analysis of Algorithms, Healthcare


Supreme A. Okoh is a faculty member in Software Engineering Department, Veritas University Abuja Nigeria. He holds a B.Eng. degree in Telecommunication Engineering from the Federal University of Technology (FUT) Minna, Nigeria with first class honors. He also completed his M.Eng. research in Communication Engineering in the same University and an M.Ed. degree in Advanced Teaching at University of the People, Pasadena, California, USA. He is a recipient of various awards such as Total Petroleum scholarship award, best graduating student award, University of the People prestigious scholarship award, etc. He is a Certified Internet Webmaster (CIW), Cisco Certified Network Associate (CCNA) and a Huawei Certified ICT Associate (HCIA). He is a member of IEEE, and the Nigerian Society of Engineers (NSE). He is a reviewer with IEEE Access and PLOS One Journal. His research interests include software systems engineering, algorithms, healthcare engineering, artificial intelligence, internet of things, information & network security, curriculum development and outcome-based learning. 

Author Articles
Development of IoT Cloud-based Platform for Smart Farming in the Sub-saharan Africa with Implementation of Smart-irrigation as Test-Case

By Supreme A. Okoh Elizabeth N. Onwuka Bala A. Salihu Suleiman Zubairu Peter Y. Dibal Emmanuel Nwankwo

DOI:, Pub. Date: 8 Apr. 2023

UN Department of Economics and Social Affairs predicted that the world population will increase by 2 billion in 2050 with over 50% from the Sub-Saharan Africa (SSA). Considering the level of poverty and food insecurity in the region, there is an urgent need for a sustainable increase in agricultural produce. However, farming approach in the region is primarily traditional. Traditional farming is characterized by high labor costs, low production, and under/oversupply of farm inputs. All these factors make farming unappealing to many. The use of digital technologies such as broadband, Internet of Things (IoT), Cloud computing, and Big Data Analytics promise improved returns on agricultural investments and could make farming appealing even to the youth. However, initial cost of smart farming could be high. Therefore, development of a dedicated IoT cloud-based platform is imperative. Then farmers could subscribe and have their farms managed on the platform. It should be noted that majority of farmers in SSA are smallholders who are poor, uneducated, and live in rural areas but produce about 80% of the food. They majorly use 2G phones, which are not internet enabled. These peculiarities must be factored into the design of any functional IoT platform that would serve this group. This paper presents the development of such a platform, which was tested with smart irrigation of maize crops in a testbed. Besides the convenience provided by the smart system, it recorded irrigation water saving of over 36% compared to the control method which demonstrates how irrigation is done traditionally.

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