Real-time water quality monitoring is crucial due to land utilization increases which can negatively impact aquatic ecosystems from surface water runoff. Conventional monitoring methodologies are laborious, expensive, and spatio-temporally limited. Autonomous surface vehicles (ASVs), equipped with sensors/instrumentation, serve as mobile sampling stations that reduce labor and enhance data resolution. However, ASV autopilot navigational accuracy is affected by environmental forces (wind, current, and waves) that can alter trajectories of planned paths and negatively affect spatio-temporal resolution of water quality data. This study demonstrated a commercially available solar powered ASV equipped with a multi-sensor payload ability to operate autonomously to accurately and repeatedly maintain established A-B line transects under varying environmental conditions, where lateral deviation from a planned linear route was measured and expressed as cross-track error (XTE). This work provides a framework for development of spatial/temporal resolution limitations of ASVs for real-time monitoring campaigns and future development of in-situ sampling technologies.

Global Positioning System (GPS) machine guidance aids in the precise navigation and piloting of farm machinery and serves to boost productivity and optimize farm operations. Characterization of low-cost GPS guidance systems for livestock production operations is necessary for return on investment (ROI) decision making. The objective of this research is to characterize the accuracy of four commercially available low-cost ($985 - $4,200) wide area augmentation system (WAAS) corrected GPS guidance systems. Testing procedures were designed in accordance with the ASABE/ISO standard 12188-2 for testing of satellite-based guidance systems during straight line travel. The vehicles lateral deviation of a planned path, characterized as cross-track error (XTE), was evaluated for short-term and long-term guidance for each system at speeds of 4.8, 9.6, and 14.5 kph (3, 6, and 9 mph).