This case study presents a prototype system that uses sound to represent soil-moisture data. Sonification, the representation of data through sound, is used here to support decision-making in manual irrigation contexts by providing soil-moisture information intended to reduce the risk of surface runoff and deep percolation. The system is introduced and formalised before its application in water monitoring contexts is investigated. The implementation is specifically focused on shallow-rooting plants and can provide both real-time auditory feedback during watering and a retrospective overview of soil-moisture data over time. This case examines a potential application of sonification for water research more generally.
