%0 Journal Article %T Augmented IoT Model for Smart Agriculture and Farm Irrigation Water Conservation %A Makasda Solomon Dickson %A Constance Izuchukwu Amannah %J International Journal of Intelligence Science %P 131-163 %@ 2163-0356 %D 2023 %I Scientific Research Publishing %R 10.4236/ijis.2023.134007 %X In Northern Nigeria, irrigation systems are operated manually. Agriculture has over the years been practiced primitively by farmers, especially in sub-Saharan Africa. This is due to the absence of intelligent technological know-how where its practice could be leveraged upon. Agricultural practice is constrained by some major challenges ranging from traditional way of farming, understating of concepts, practices, policy, environmental and financial factors. The aim of this study was to optimize an IoT-based model for smart agriculture and irrigation water management. The objectives of the study were to: design, implement, test and evaluate the performance of the optimized IoT-based model for smart agriculture and irrigation water management. The method used in the study was the prototyping model. The system was designed using balsamiq application tools. The system has a login page, dashboard, system USE-CASE diagrams, actuators page, sensor page and application interface design. Justinmind tool was used to show the flow of information in the system, which included data input and output, data stores and all the sub-processes the data moves