A producer-friendly crop model- and sensor-based irrigation decision support system designed to provide real-time irrigation schedules and projected economic outcomes based on water use and production goals. The system uses management information from the user in conjunction with externally sourced data, including projected short-term weather, and generates crop growth and economic model scenarios. Remote detection of plant water stress using a sensor platform mounted on a pivot irrigation system improves irrigation schedules. Demonstrated with cotton in the Texas Rolling Plains region.