Experimental study demonstrates real-time sap flow monitoring in rice plants, indicating improved drought stress detection for precision agriculture.
Key Points
To engineer a lightweight, breathable, and non-invasive wearable sap flow sensor suitable for continuous physiological and drought stress monitoring in delicate grass-like crops.
Fabricated a compact (3 × 1.6 cm), lightweight (0.44 g) sensor integrated into a breathable, stretchable magnetic kirigami substrate for easy self-attachment.
Conducted continuous, non-invasive sap flow tracking on rice plants over an 8-week period under actual field farming conditions.
Developed and evaluated a drought stress prediction algorithm based on continuous sap flow measurements versus conventional soil moisture metrics.
Maintained continuous and stable sap flow monitoring for 8 weeks under real agricultural conditions without impairing plant health.
Achieved a 93.22% accuracy in predicting drought stress from sap flow data, significantly outperforming soil moisture-based approaches (57.69%).