Application of hydrology to agriculture is found in irrigation, drainage and soil conservation. The development of irrigation and agricultural water management technology holds significant potential to improve water productivity. Improper on-farm irrigation management practices lead to poor water distribution, non-uniform crop growth, excessive leaching in some areas (leading to waterlogging) and insufficient leaching in others (leading to salinity buildup), all of which decrease the yield per unit of land area and also per unit of water applied. Hence, the objective of the study was to improve water and crop productivity of wheat through the use of the wetting front detector and Chameleon sensor at the farm level in the Koga irrigation scheme. The research was conducted to evaluate water saving, yield and water productivity of wheat by using Wetting Front Detector (WFD) and Chameleon sensor at Chihona, Adibera and Teleta blocks during 2018/2019 irrigation season. For control treatment, 7.5 ha of land, for WFD 6.63ha of land and for a Chameleon sensor, 8.13 ha of land were managed by 18 farmers six from each block. The study shows that the Wetting front detector and Chameleon sensor irrigation water management system can save 6% and 25% water respectively at significant level p<0.05. The average Water Productivity (WP) of the scheme was 0.64 kg/m3, 0.85 kg/m3 and 0.87kg/m3 for Control group (i.e. traditional irrigation scheduling, based on experience), WFD and soil moisture sensor (Chameleon) respectively which was significant at a significant level of p<0.05. Likewise, the average yield of the scheme was 2788 kg/ha, 3220 kg/ha and 3490kg/ha for the Control group (i.e. traditional irrigation scheduling, based on experience), WFD and soil moisture sensor (Chameleon) respectively. If all fields in the scheme were guided by WFD, additional land to be irrigated could be 2080 ha. Similarly, if all fields in the scheme were guided by Chameleon sensor 691 ha of additional land can be irrigated.