Based on the coupling characteristics of farmland water utilization and land resource development, this study sought to define the precision irrigation management zones in farmland according agent-based model for optimal land allocation (AgentLA) in Naoli River Basin, and then determined the farmland utilization area with key irrigation control. All the above analysis used the Landsat Satellite images for OLI sensor, the DEM data and the long-term sequenced meteorological data as fundamental data resources. Remote sensing and GIS technology were used to study quantitatively the water profit and loss of farmland, and finally AgentLA model was utilized to delineate the key farmland irrigation area. The results showed that by comparing with the conventional density division method, AgentLA model not only considered the water profit and loss of farmland, but also took into account the spatial morphological properties, and the key irrigation zones defined by this mode covered the target area suffered high water deficit, had high compactness as well, meanwhile avoided the key irrigation area and its spatial pattern too messy and broken to carry out daily irrigation management. The model running results showed that when the irrigation area of the farmlands was 20% in Naoli River Basin, 83.40% of farmlands with moderate water deficit, 99.86% of farmlands with severe water deficit, 0.71% of normal farmlands and all farmlands with serious water deficit needed to be controlled by irrigation in the future. This study results could be used as references and consultancies for precision irrigation management in the Naoli River Basin, and provide the basis for related scholars.