Reasonable and efficient utilization of water and soil resources are vital to sustainably intensify agricultural production systems within planetary boundaries. To implement proper water resources management in irrigation schemes, efficient non-invasive techniques that could accurately estimate timing and amount of irrigation according to the spatial variability of soil moisture regimes are needed. In this research, in situ thermal imaging was evaluated to estimate gross irrigation water requirements for wheat under different crop water stress levels. In addition, the effects of different irrigation treatments on the yield, canopy temperature, crop water stress index (CWSI) and irrigation water productivity of wheat crop were investigated. The research was conducted at the Koga Irrigation Project of Amhara regional state, Mecha Woreda, in Chihona and Adibera blocks on farmers plot planted with wheat crop in the 2018/2019 growing season. The experimental plot had a randomized complete block design (RCBD) for each block with three treatments and three replications. Infrared thermometry handheld thermal camera was used to detect the temperature of wheat canopies under three different irrigation treatments: wetting front detector (WFD), Chameleon and current practices by farmers as control. The result indicated that the canopy temperature under irrigation conditions varied from 20.93oC to 23.4oC, 21.8oC to 24.1oC and 21.0oC to 23.3oC for the chameleon sensor, WFD, and control treatment respectively in both blocks. The variance showed that there were no significant differences (p>0.05) of the effect of irrigation treatment on the canopy temperature during the different crop phenological stages for irrigation condition and also there were no significant differences (p>0.05) of the effect of irrigation treatment on the CWSI during the different crop phenological stages. This shows that irrespective of the irrigation scheduling method, the CWSI could be determined. The technology users (WFD and Chameleon) applied quantities relatively near to the estimated gross irrigation amount estimated using the thermal imagery. The maximum Irrigation Water Productivity (IWP ) of the two blocks was from the WFD field which was 0.72 kg/m3, 0.64 kg/m3 for Adibera and Chihona block respectively which was significant (p<0.05) at both blocks within control farmer however there was no significant difference between the two technology (WFD and Chameleon). The study has shown that using farm water management technologies WFD and Chameleon sensor has an explicit role in increasing Water productivity without crop water stress.